Engineering Jobs in California
257 positions found — Page 5
Battery Pack CAE Model Build Engineer (Safety, Durability & NVH)
Irvine, CA
Onsite
C2C
Must Have Skills: Battery Pack CAE Model Design& develop, ANSA, Meshing,
Preferred: LS-Dyna, Optistruct, Nastran, Abaqus
Role Objective:
Deploy one (1) engineer to provide full vehicle CAE model build and ongoing support for battery pack CAE models across Structural Safety, Durability, and NVH domains. The engineer will build, update, debug, and deliver analysis-ready battery pack models integrated to the vehicle BIW, in accordance with Purchaser-provided standards for numbering, mesh criteria, and joining methodology.
Key Responsibilities / Scope of Services
Develop and maintain battery pack CAE models for each major build release including:
Durability models in Abaqus or OptiStruct template (per Purchaser requirement).
LS-DYNA durability sub-models for the battery system (e.g., Ground Strike, Top Strike).
NVH structural battery models in OptiStruct, including full pack content and BIW integration.
Structural Safety LS-DYNA crash models (homogenized sub-assemblies and/or higher fidelity per program phase).
Build full battery model content as required (structure, plastics, HV network, adhesives, potting) and connect to BIW using subsystem include files and master connection files (including BIW-to-subsystem connection files).
Ensure subsystems are massed per BOM; represent non-modeled content using NSM cards / mass elements and manage trimmed mass and CoG targets as required.
Implement joining representations per Purchaser standards (weld/bond/bolt); represent major bolted joints with solid bolt models and preload where required.
Deliver 0 ms LS-DYNA model debugged to pass error-free model checks; include required instrumentation (force X-sections on major load paths, accelerometers at specified locations).
Support high-fidelity explicit pack models as requested (e.g., cells, cooling plates/features, busbars, vents) and provide de-contented variants when required.
Delivery & Reporting Requirements
Deliver models in compliance with the Purchaser Model Checklist and provide a Seller delivery checklist confirming model run-readiness and documenting any deviations.
Report with each full vehicle CAE model delivery: global energy, mass scaling, and total model mass (as applicable to the domain).
Maintain consistent mesh quality and alignment across domains where required.
Minimum Qualifications (Deployed Engineer)
Demonstrated experience building vehicle CAE models, with battery pack focus preferred.
Proficiency in LS-DYNA, OptiStruct, and Abaqus (as applicable) including model assembly, BIW integration, connections/includes, and debugging.
Strong capability in mesh quality, BOM massing/NSM, joints modeling (weld/bond/bolt), and checklist-driven delivery discipline.
Job Title: QA Engineer
Location: Santa Clara, CA
Employment Type: Full-Time
Role Overview
We are seeking an experienced QA Engineer to support validation and quality assurance activities for consumer desktop platforms. This role is responsible for testing, issue analysis, and ensuring release readiness across internal and OEM configurations. The ideal candidate will have strong Windows BSP testing experience, hands-on debugging expertise, and prior exposure to OEM system validation.
The position requires close collaboration with BSP, OEM QA, and automation teams to ensure CI/CD quality compliance and timely issue resolution.
Key Responsibilities
Device Setup & Configuration
- Flash builds onto Yukon boards and OEM devices.
- Configure UEFI, OS images, and KDNET settings for debugging.
- Enable crash dump collection and install SoC, GPU, and platform drivers.
Testing & Validation
- Develop, execute, and maintain manual and automated test cases.
- Perform functional, stress, power, and performance testing on internal and OEM devices.
- Conduct exploratory testing to identify corner-case scenarios (expertise in one or more subsystems preferred).
- Validate power states, hibernate cycles, and Modern Standby functionality.
- Support certification readiness activities including USB4 and DP tunneling validation.
Debugging & Issue Management
- Triage internal and OEM defects; track reproducibility and resolution status.
- Collect logs, crash dumps, and perform root cause analysis.
- Utilize debugging tools such as WinDbg and KDNET.
- Perform memory debugging and analyze system-level issues.
CI/CD & Reporting
- Ensure quality and compliance of BSP builds within CI/CD pipelines.
- Upload and document test results accurately.
- Prepare detailed test execution reports and communicate findings to stakeholders.
- Support build readiness and release validation processes.
Collaboration
- Work closely with BSP, OEM QA, and automation teams.
- Coordinate with internal and external stakeholders for validation and issue resolution.
Required Skills & Qualifications
- 5–8 years of experience in Windows-based QA and BSP validation.
- Strong hands-on experience with Windows BSP testing and platform setup.
- Experience with UEFI flashing, KDNET debugging, and crash dump analysis.
- Proficiency in bug triage, log analysis, and defect reporting tools.
- Solid understanding of power management states, hibernate cycles, and Modern Standby.
- Experience with OEM device validation and system-level testing.
- Familiarity with CI/CD pipelines for BSP builds and QA automation.
- Experience with Intel and AMD platforms.
- Knowledge of USB4, DP tunneling, and certification readiness tasks.
- CUDA knowledge is preferred.
KGS Group is seeking a Senior Electrical Engineer to join our growing practice in Bellevue, WA or Granite Bay, CA.
About Us
We are KGS Group, an employee-owned, multidisciplinary engineering consulting firm serving clients throughout North America. We’re different than traditional engineering firms. We believe a commitment to lasting relationships is just as critical as the expertise applied in our work. To us that means we put our clients and people first. We have the discipline to consistently deliver KGS Quality, never taking the easy way out. We always look closer and dig deeper. And no matter the project, we care enough to do it right.
As an employee-owned company, we’re invested in our work and our people. Working with us means you’ll be part of some of the most interesting projects up and down the west coast. With the extensive, wide-ranging expertise within our company, you’ll have countless opportunities to learn and grow.
Many of our core clients operate in the hydropower and water management fields. We are growing our U.S. team to continue to provide our industry-leading services to these clients. As we expand our presence on the west coast, we are looking for strong candidates at all levels to join our team!
The Role
As a Senior Electrical Engineer, you will be responsible for providing engineering inputs integral to both small and large scale hydro projects. You will lead and mentor teams, support management of production and coordinate delivery of engineering inputs often with multi-disciplinary project team members and senior stakeholders. You will not only support and help grow the broader engineering team capabilities, but your particular focus will be on continuing the development of our powerhouse and energy capabilities and working with key staff in growing that aspect of the business.
You’ll also be involved in supporting project management duties, liaising with both internal and external clients as well as assisting with guiding and mentoring graduate engineers within the team. In this role you will lead teams conducting technical work for feasibility studies, engineering designs, preparation of construction drawings and specifications, and carrying out onsite visits for rehabilitation and upgrades to dams, hydroelectric facilities and new hydroelectric developments. You will participate in design and play a large role in mentoring the team. You will be working in a collaborative environment with a great team of engineers and scientists, and you will also interface directly with clients.
Key Responsibilities
- Provide input to those managing and executing multiple projects from the proposal stage through to completion. Projects will include a variety of small to large projects.
- Establish and facilitate connections with other departments to support and enhance service delivery.
- Work collaboratively with other disciplines and multidisciplinary project teams to execute project deliverables, as well as ensure that quality objectives, schedules and budgets are met.
- Support and collaborate on new business opportunities with new and existing clients, as well as supporting business development efforts for electrical work.
- Manage and mentor junior staff.
- Design modifications to, or entirely new, electrical, instrumentation and balance of plant systems related to dams, control structures, water retaining structures, switchyards and hydroelectric generating stations.
- Manage and execute multiple projects from the proposal stage through to completion. Projects will include a variety of small to large projects involving water resources, flood control and hydroelectric sectors.
- Design modifications to, or entirely new, electrical, instrumentation, protection, and balance of plant systems related to dams, control structures, water retaining structures, switchyards and hydroelectric generating stations.
- Perform electrical calculations.
- Conduct inspections and support project work on site as required.
- Edit and prepare design specifications.
- Provide detailed designs and coordination of facilities with team members.
- Conduct QA/QC reviews and provide leadership and mentoring related to KGS’s QA/QC process.
- Contribute to the development of the electrical engineering practice at KGS by documenting technical knowledge, improving internal production processes, coordinating and developing internal training content, and other tasks.
- Perform other duties as assigned.
About You
- Minimum of a Bachelor of Science (BS) degree in Electrical Engineering from a recognized university. A post graduate degree would be an asset.
- Minimum of 15 years of experience in electrical engineering with demonstrated project management skills (tracking budgets and meeting schedules).
- Must be registered as a Professional Engineer (P.E.) in California, Oregon, or Washington, as well as eligible for registration as a professional engineer in other states by comity through NCEES.
- Demonstrated leadership of electrical design projects in the industrial power generation field, with experience managing and mentoring younger staff.
- Previous consulting experience is preferred.
- Excellent verbal and written communication skills are required.
- Candidate must be able to work independently with minimal supervision.
- Client interaction: must be able to effectively assume a lead role as project engineer at project meetings and communicate project and technical information.
- Demonstrated experience in site investigations, condition assessments, design and construction support are preferred.
- Experience with station service distribution (all voltages), medium voltage equipment, fixed bus power distribution systems, Programmable Logic Controller (PLC) automation (for equipment control), generators and transformers including related monitoring systems, communication systems, system grounding, hoists and gate automation, and balance of plant systems for hydroelectric stations preferred, but industrial experience will be considered.
- Experience with the following would be considered an asset:
- Backup power systems (including Uninterruptible Power Supply (UPS), Direct Current systems and fuel fired backup)
- Lighting (including emergency and exit lighting systems)
- Fiber and copper structured cable systems, and associated networking equipment
- Distributed Control System (DCS) and PLC Automation, Human Machine Interface (HMI) and Remote Terminal Unit (RTU) integration (including any programming experience)
- Protection systems experience, including specifying, setting and verifying (include reference to voltages)
- Load flow analysis, system modelling, arc-flash, grounding, and other electrical studies (include reference to software used and any training)
- North American Electric Reliability Corporation (NERC)/Critical Infrastructure Protection (CIP) planning
- Physical or cyber security planning or design
- Unit outage planning
- Other renewable energy experience
- Travel to project sites is usually limited but is required depending on project/client requirements.
- Must possess a valid driver’s license and the ability/willingness to undergo security clearance checks.
- Have a drive, attitude, and commitment to being an active participant in our employee-owned culture is a must.
The salary range for this position is $130,000 to $180,000 annually.
Please note that the salary ranges mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including candidate’s experience, skills, and location. KGS Group is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.
KGS Group is an employee-owned equal opportunity company offering an excellent compensation and benefits package.
KGS Group welcomes and encourages applications from people with disabilities. Upon request, KGS Group will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process.
JOB OPENING - PLUMBING ENGINEER & PROJECT MANAGER
We are a full-service MEP engineering and consulting company. We are servicing the building industry in mechanical, electrical, and plumbing engineering services for different building types such as single-family custom homes, multifamily, mid-rise, high-rise, commercial, office spaces, retail, restaurants, mixed-use, and industrial. We have an opening for Plumbing Engineer &/or Project Manager who can handle the following responsibilities.
• Design of residential and commercial plumbing systems including calculations, piping layout, riser diagrams, equipment schedules, and details
• Coordination of the plumbing plans per developer, builder, architect, civil engineer, and other disciplines plans and requirements.
• Attending design and coordination meetings daily.
• Managing the project from schematic design (SD) phase all the way through the final stages of construction administration (CA).
• Designing the plans using AutoCAD & REVIT
REQUIREMENTS
• Bachelor of Science in Mechanical Engineering or equivalent experience
• Plumbing Design and Project Management experience, 2-6 years (preferred)
• Experience in AutoCAD & REVIT
• Microsoft Office
• Team player and detail oriented
COMPENSATION
• Salary Range: $65K-$75K
• Bonuses
BENEFITS
• Health insurance
• 401K
• Paid time off
• Paid vacations
• Paid sick time
SCHEDULE
• Monday-Friday 8:00 am - 5:00 pm
Partial remote work can be offered, depending on capabilities and upper management approval.
JOB TYPE
• Full Time
Interested applicant should forward resume to:
Job Title: Test Lead
Location: Mountain View, CA
Job Type: Full-Time
Job Description:
Qualification: B. Tech/MTech (Electronics & Communication Engineering)
1) Min 10 yrs experience in Automotive test development and testing with min 2 yrs in the infotainment and/or telematics domain
2) Test automation and testing of IVI interfaces at least 2 of the following: Serialize-based high-resolution Displays, Ethernet, Tuner, Wi-Fi, BT, V2X, LTE, GNSS, and Audio.
3) DVP&R preparation, DV testing
Skills:
1) Min 10 yrs experience in Automotive test development and testing with min 2 yrs in the infotainment and/or telematics domain
2) Test automation and testing of IVI interfaces of at least 2 of the following: serialize-based high resolution Displays, Ethernet, Tuner, Wi-Fi, BT, V2X, LTE, GNSS, and audio
3) DVP&R preparation, DV testing
Looking to work for an international company that has a direct effect on improving their environment? Want to work for a company that gives back? OR Do you have experience in LEGAL and looking to work outside the field, or experienced in engineering or construction? This is the company for you! Large environmental engineering firm has over 100 offices in multiple countries! Company is focused on improving air quality, limiting effect of development on the environment, water resources/conservation, and providing several environmental consulting services. Company is searching for an Administrative Assistant for their Los Angeles offices. Company provides amazing benefits and opportunities for growth!
What will I be doing?
- Preparing marketing materials
- Preparing contracts and related documents
- Managing project files
- Creating reports
- Coordinating meetings
- Supporting litigation process with document processing
- Archiving and purging documents as needed
- Providing support to Principal
- Managing schedules for leave Managers and Principal
- Producing and editing technical reports
- Preparing correspondence
- Managing database
- Managing office supplies and ensuring kitchen is stocked
- Making travel arrangements
- Acting as point of contact for property management
What skills do I need?
- Attention to detail
- Ability to manage multiple projects
- Highly professional in speech and presentation
What are the requirements?
- BS or BA required
- 3+ years’ experience in a similar position
- Advanced Word Excel, Power Point and Outlook skills
- Advanced Adobe Acrobat
Job Description:
We are looking for a Mechanical Engineer with experience in designing liquid cooling systems for battery packs or data centers. The candidate should be able to work with SolidWorks or CATIA to create 3D models and drawings.
Responsibilities:
- Design liquid cooling components such as cold plates, manifolds, hoses, and enclosures
- Create 3D models and 2D drawings in SolidWorks or CATIA
- Work with the thermal and electrical teams to improve cooling performance
- Support prototype builds and testing
- Communicate with suppliers and support production readiness
Requirements:
- Degree in Mechanical Engineering
- Experience in liquid cooling design (battery cooling or data center cooling preferred)
- Hands-on experience with SolidWorks or CATIA
- Basic knowledge of heat transfer and fluid flow
- Good communication and teamwork skills
We are seeking a Presentation Designer & Visual Storyteller to support our Marketing Communications team. This role is perfect for someone who loves working in PowerPoint and is passionate about turning complex ideas, data, and technical concepts into clear, compelling visual stories.
You will collaborate with stakeholders to create executive-ready presentations, design scalable PowerPoint templates, and structure content in ways that improve clarity, flow, and audience understanding. In some cases, you may also capture and edit lightweight video content to help bring presentations to life.
Key Responsibilities
- Partner with stakeholders to clarify presentation goals, audiences, and key messages
- Transform complex data and technical content into clear visual narratives
- Design slide flows that guide understanding and storytelling
- Create polished, executive-ready PowerPoint presentations aligned with brand guidelines
- Develop charts, infographics, and diagrams that communicate insights quickly
- Build scalable PowerPoint templates and presentation systems
This is a Contract position and is not eligible for C2C or W2 Referral.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.
What you'll do:
- Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
- Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
- Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
- Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
- Provide visibility to senior leadership regarding the team's global impact.
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
- Build a culture of excellence and expertise within the team.
What we're looking for:
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
- Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
- Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
- Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
- Strong focus on product impact and user experience within a consumer-focused environment.
- Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
- 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-DM57
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Sr. FPGA Design Engineer at Reliable Robotics you will be a part of the Embedded Systems team which owns the firmware and software at the heart of the Reliable Robotics autonomy stack. We are a creative and diligent team that provides dependable computing, networking, signal processing, and motor control solutions to bring our aircraft to life. Your contributions will directly enable development of our flight computer and air to air RADAR, unlocking higher-level capabilities, and setting the stage for product certification & delivery to market.
Responsibilities
In your role as an FPGA Design Engineer, you will work in a highly collaborative and cross-functional development environment including mutual peer review to maintain high product quality. This work will include FPGA requirements, design, and simulation as well as code synthesis, hardware integration, and test support. You will contribute to multiple FPGA projects in support of the long-term Reliable Robotics technology roadmap.
Basic Success Criteria
Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent
8+ years of full-cycle electronics hardware development experience in a professional environment
Professional experience designing FPGA digital logic using industry-standard design, simulation, and synthesis tools
Preferred Criteria
Advanced degree in Electrical Engineering, Computer Engineering, or equivalent
Proven track record of product ownership including development and field support
Experience with safety-critical FPGA development (DO-254 level A/B or equivalent industry standard)
Experience architecting, implementing, and verifying fixed point DSP algorithms
Comfortable with a fast-paced, agile/iterative development life cycle
Pragmatic, results-oriented work style
FPGA designers at Reliable Robotics have a unique opportunity to work within a vertically integrated technology stack that extends up to the aircraft level, with a direct impact on the aircraft's capabilities and requirements. They execute a focused mission to establish the foundation of Reliable's technology roadmap. We are a fast-paced team that gets results. With your experience, motivation, skills, and enthusiasm, you'll help the team accomplish amazing things.
Employees working from our headquarters in Mountain View, CA may expect very little travel.
The estimated salary range for this position is $215,000 to $300,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.
In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $215K - $300K
Apply for this JobWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Hardware Test Engineer at Reliable Robotics, you will be a key part of the Hardware Test team. This is a small team of broadly experienced engineers that strive to ensure that all hardware being produced meets the stringent requirements for aviation. Hardware Test Engineers are one of the essential interfaces between the design, production, and flight test teams and are exposed to a wide variety of technical challenges.
You will be creating automated test stands to replicate extreme flight conditions on our hardware and mechanisms that will serve as the backbone of our qualification testing. You will help to break our development hardware, help root-cause the failure modes, and provide critical input in redesigning it. You will be writing the software and building the hardware platforms for the command, control and data collection systems that will test our systems to rigorous aerospace standards.
Responsibilities
Full ownership of the design, build, and maintenance of mechanical or electrical test stands for development testing, production acceptance testing, functional and environmental qualification testing
Automate the repetitive aspects of the test stands
Author, execute, and audit test plans, procedures, and reports
Work closely with design engineers and flight test engineers to design, build, test and improve flight hardware
Basic Success Criteria
B.S. Degree in Mechanical, Electrical, Aerospace, Computer Science, Software Engineering or equivalent industry experience
1+ year of industry experience testing hardware
Experience using ECAD tools such as Altium or MCAD tools such as NX
Comfort with basic software scripting in Python, C/C++, or MATLAB
Working understanding of mechanical or electrical engineering fundamentals
Eagerness for hands-on work - integration of sensors, building test fixtures, diagnosing and debugging equipment and hardware
Ability to methodically diagnose, document, and solve hardware problems
A demonstrated passion for mechanical, electrical, or electromechanical hardware
Preferred Criteria
2+ years experience in aerospace hardware test planning and execution
Experience working on and around aircraft
Knowledge of aerospace qualification testing standards (MIL-STD-810, RTCA DO-160, or similar) and the aircraft certification process
Experience reviewing technical designs and working from drawings, schematics, layouts, assembly/procedures, master parts lists, and other controlled documentation
Familiarity with test instrumentation and data collection methods such as NI DAQ, UEI DAQ, LabJack, etc.
Working understanding of measurement and data analysis; ability to clearly present technical data and state its limitations
Demonstrated proficiency building/fabricating machine parts, cable assemblies, or other testing, integration, or assembly experience
As a member of our team, you will be a pivotal contributor to the development of novel hardware that will transform the future of flight. From component level thermal testing to instrumenting our aircraft with a sensor suite for flight testing, you will closely interface with many vital parts of our system. The cross-functional nature of this role also lends itself to mentoring opportunities across the entire company.
This role is located onsite at our HQ in Mountain View, CA.
Must be willing to travel 10% of the time.
The estimated salary range for this position is $118,000 to $170,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.
In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $118K - $170K
Apply for this JobSalary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $75,301 - $199,722. Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department.
Percent time:
Lecturers: 11% - 100%
TSP: Hourly (4-40 hours per week)
The percentage of the appointment will vary, depending on the number of courses taught.
Anticipated start:
Positions usually start in January, various times throughout the summer and August
This pool will remain open until the final date to accommodate upcoming course needs and new applicants.
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available
Review timeline:
Appointments for the Fall semester are usually reviewed in April and for the Spring semester in October.
Position duration:
Positions may be for one semester or for the full academic year.
Application Window
Open date: August 20, 2025
Most recent review date: Thursday, Sep 4, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Thursday, Aug 20, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Department of Nuclear Engineering at the University of California, Berkeley is generating an applicant pool of qualified temporary instructors to teach regular and Summer Session courses, should an opening arise. In addition to classroom/laboratory teaching and preparation, general duties may include (but are not limited to) managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and maintaining a course website.
We are also seeking applicants for hourly Teacher Special Programs (TSP), should an opening arise. The TSP instructor's principal responsibility will be overseeing capstone projects in the Master of Engineering (MEng) program of the Nuclear Engineering Department. This will include the following tasks: Designing and proposing capstone projects. Helping match students into suitable projects. Meeting with each capstone project team on a regular basis to review results, manage interpersonal aspects, and maintain efficient progress. Provide critical, constructive feedback on students' written reports and oral presentations. Coordinating and participating in the MS Plan II exam of each student at the end of the capstone project period.
Department:
Qualifications
Basic qualifications (required at time of application)
Master's degree or equivalent international degree at the time of application.
Additional qualifications (required at time of start)
For Lecturers: Five years of experience in industry or a
research institute, or a Ph.D. or equivalent international degree by the start of the appointment.
For TSPs: Two years of experience in industry or a research
institute, or a Ph.D. or equivalent international degree by the start of the appointment.
Preferred qualifications
Lecturer Positions:
Demonstrated excellence in teaching
Experience teaching college-level courses
A higher-level degree and/or prior teaching experience is preferred in one of the following specializations.
Specializations include, but are not limited to:
Nuclear Engineering
Nuclear Physics, Nuclear Reactions, Nuclear Detection
Radioactive Waste Management
Nuclear Fuel Cycle
Radiation Biological Effects, Dosimetry, Radiation Protection
Radiation Transport, Reactor Physics
Engineering Thermodynamics
TSP Positions: Mentoring experience in one or more of the related engineering fields/specializations or comparable experience/training.
Nuclear
Mechanical
Chemistry
Physics, etc.
Experience in supervising teams of researchers at the graduate level and experience working in industry and/or a research institute.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Statement of Teaching - Summary of Teaching experience/philosophy for lecturer positions or Mentoring/teaching statement for TSP positions.
Reference requirements
- 2 required (contact information only)
Apply link:
JPF04980
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services.
What you'll do:
- Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact.
- Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
- Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
- Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights
- Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance
- Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability
- Innovation: Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront
What we're looking for:
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Product Mindset: Demonstrated ability to work backwards from customer needs -understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption
- Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes
- Data Engineering Skills: Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale
- Observability Domain Knowledge: Hands-on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with OpenTelemetry, Prometheus, Grafana, or similar technologies
- Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code
- Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability
- Experience building observability platforms from the ground up or significantly scaling existing solutions
- Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
- Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy
- Experience with machine learning or anomaly detection applied to observability use cases
- Strong communication skills with ability to influence stakeholders at all levels
- Contributions to open-source observability projects, a plus
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-JT1
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$177,185—$364,795 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
We offer 2 internship start dates:
- May 18, 2026 - August 7, 2026
- June 15, 2026 - September 4, 2026
What you'll do:
- Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Collect, analyze, and synthesize findings from data and build intelligent data-driven models
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
- Scope and independently solve moderately complex problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
What we're looking for:
- Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems.
- Preferred Qualifications:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The salary for this position is $12,100 monthly.
#LI-HYBRID
#LI-EB1
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.
What you'll do:
- Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
- Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
- Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
- Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
- Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
- Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
What we're looking for:
- M.S/ PhD degree in Computer Science, Statistics or related field.
- Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
- Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
- Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
- Deep hands-on experience in content understanding domains, such as:
- computer vision (classification, detection, representation learning),
- NLP (text classification, entity/topic modeling),
- multimodal / embedding models (e.g., transformer-based representations).
- Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
- Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
- Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Location: Oceanside, CA 92056
Duration: 9+ Months
Responsibilities:
- Works on the design, modifications, and maintenance of manufacturing equipment and manufacturing processes.
- Works on engineering planning, financial justification, start-up activities, scale-up processes, implementation, process improvements, and validation.
- Performs evaluation studies and troubleshooting on manufacturing equipment and systems.
- Generates and reviews required engineering and manufacturing documentation.
- Provides accurate budget estimates for capital equipment and projects.
- Independently resolves manufacturing engineering issues of complex scope.
- Independently manages assigned projects through completion.
- Participates in cross-functional project teams.
- May coordinate contract personnel through completion of assignments; may guide other manufacturing process engineers.
- Purchases machinery, equipment, tools, raw materials, packaging materials, parts, services, and supplies necessary for the operation of a pharmaceutical organization.
- Compiles and analyzes statistical data to determine the feasibility of buying products and to establish price objectives.
- Compiles information from periodicals, catalogs, and other sources to keep informed on price trends and manufacturing processes.
- Confers with vendors and analyzes vendors' operations to determine factors that affect prices and determines the lowest cost consistent with quality, reliability, and ability to meet required schedules.
- Reviews proposals, negotiates prices, selects or recommends suppliers, analyzes trends, follows up on orders placed, verifies delivery, approves payment, and maintains necessary records.
- Utilizes as necessary, established precedents and policies.
We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Supplier Development Engineer at Reliable Robotics, you'll play a critical role in developing and continuously improving all aspects of our mechanical supplier engineering processes to meet design, regulatory, and business requirements (including safety, quality, cost, and on-time delivery). This is a growing team of highly motivated people passionate about delivering quality products and services on time, with unquestionable value. You will be responsible for sourcing, qualifying, and troubleshooting all machining and sheet metal products, conducting design for excellence (DFx) reviews, and developing the processes and infrastructure to help the business scale. The projects you work on will set the foundation for how the business operates for years to come. This is a fantastic opportunity to work in a safety-critical environment that takes automated aviation systems from prototype to production in a hands-on environment.
Responsibilities
Develop and manage supplier relationships to ensure they meet or exceed manufacturing, testing, inspection, quality, performance, and reliability requirements
Develop design for excellence (DFx) processes, and conduct reviews to evaluate designs for cost, producibility, inspectability, consistency, adequacy, accuracy, and conformance to requirements
Develop supplier qualification processes and conduct regular reviews
Collaborate with design, quality, and certification teams to embed producibility/manufacturability, compliance, and risk mitigation in all phases of product development (e.g., prototype, R&D, certification, and production)
Develop quality control plans and inspection infrastructure, including dimensional inspection and functional testing
Develop and ensure compliance with all policies, procedures, quality management systems, and engineering change orders
Develop processes to ensure accurate, current, and complete documentation (work instructions, inspections, tests, records, etc.) is utilized and maintained
Lead root-cause analysis and implement timely corrective actions to maintain schedule, quality, and reliability
Basic Success Criteria
Bachelor's degree in mechanical, aerospace engineering, or a related field of study
5+ years of manufacturing, design, and/or testing experience
2+ years of experience with computer-aided design (CAD) and Product Lifecycle Management (PLM) software, such as NX and Teamcenter
Geometric Dimensioning and Tolerancing (GD&T) experience
Coordinate Measuring Machine (CMM) experience
Preferred Success Criteria
Experience with CNC machinery (lathe, mill, waterjet, laser cutter, EDM)
Precision sheet-metal or plastic molding tooling design experience
Experience with industry or regulatory requirements such as AS9100, CFR 14 CFR 21.137, and/or 14 CFR Part 145
Research and Development (R&D) or New Product Introduction (NPI) experience
Previous leadership or management experience
Prior experience in troubleshooting, repairing, setting up, and operating complex hardware in a safety-critical environment
Our team is passionate about delivering on our commitments, solving hard problems, continuously improving, and helping the business succeed. We are constantly reevaluating our technologies, products, and capabilities. If you are a lifelong learner, you will love this environment. Get in on the ground floor and help us build the company.
This role will be located at our facility in Mountain View, California.
Must be willing to travel 25% of the time.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $132K - $200K
Apply for this JobWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Sr. Flight Test Instrumentation Engineer at Reliable Robotics, you will be a part of the Flight Test and Integration team. The Flight Test and Integration team is responsible for multiple installation and test efforts at Reliable Robotics. The team regularly ensures the proper function of mechanical, electrical, and flight control systems onboard the aircraft. In addition, this team has ownership over all ground and flight test operations within the organization. The team is composed of individuals familiar with experience developing experimental and certification products.
Responsibilities
In your role as Sr. Flight Test Instrumentation Engineer, you will assist in the design and installation of modified flight control systems, throughout the development of a remotely operated autoflight system. You will ensure the proper build-up of functions and capabilities, beginning in the lab and ending on the vehicle. You will be expected to verify the end-to-end functionality of the system and ensure the ability to assess all desired test requirements. This will require engaging with many teams throughout the organization and having a firm understanding of the vehicle's capabilities. As part of the flight test campaigns, you'll act as the responsible engineer for the vehicle and often as test director.
Basic Success Criteria
Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline
7+ years of integration and test experience in a professional environment
Demonstrated ability to work with hardware
Experience leading test campaigns on the ground or in flight
Demonstrated ability to lead safety critical tests and operations
Preferred Criteria
Experience assembling components in a production environment
Experience assembling prototype hardware
Experience manufacturing mechanical and electrical (harnessing) sub-assemblies
Experience with computer science languages (Python or similar)
Flight Test Integration Engineers at Reliable Robotics will have an opportunity to deliver a first-of-its-kind gate-to-gate autoflight system for commercial use. Let's make it happen!
Must be willing to travel up to 10% of the time.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $133K - $222K
Apply for this Job