Engineering Jobs in Santa Clara
343 positions found — Page 13
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Please apply or call one of us to learn more For further inquiries about this opportunity, please contact our Talent Specialist, Saravanakumar at 224-507-1183 .
Title: Endpoint Engineer MDM Duration: 12 Months Location: Palo Alto, CA Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered.
Job Description: Role Summary This is an onsite contract role based at Client's Palo Alto Headquarters.
The Endpoint Engineer is responsible for the design, implementation, and ongoing management of the organization's device ecosystem.
This role focuses on automating the lifecycle of hardware and virtual desktops to ensure a seamless, secure, and zero-touch experience for our global workforce.
You will serve as the subject matter expert for Apple and Windows management and our cloud desktop infrastructure.
Technical Environment Apple (macOS and iOS): Jamf Pro Windows and Android: Microsoft Intune / Endpoint Manager Virtual Desktop: Amazon WorkSpaces (AWS) Scripting: PowerShell, Bash, Python Key Responsibilities 1.
Unified Endpoint Management (UEM) Daily Operations: Perform daily upkeep, system maintenance, and regular patch management for all managed endpoints to ensure security and stability.
Service Desk Escalation: Serve as the final point of contact and subject matter expert for service desk escalations related to complex endpoint issues.
Apple Fleet: Architect and maintain the Jamf Pro environment for all macOS and iOS devices.
Manage configuration profiles, policies, and patch management.
Windows and Android: Lead the administration of Microsoft Intune, ensuring robust policy application, security baselines, and application delivery.
Provisioning: Manage Apple Business Manager (ABM) and Windows Autopilot to deliver a true zero-touch deployment experience.
2.
Virtual Desktop Infrastructure (VDI) Administer and optimize Amazon WorkSpaces.
Manage WorkSpaces directories, custom bundles, and image creation/maintenance.
Troubleshoot connectivity and performance issues within the AWS ecosystem.
3.
Automation and Engineering Develop and maintain sophisticated scripts in PowerShell and Bash to automate manual tasks and integrate system APIs.
Build and maintain a library of packaged software (dmg, pkg, msi) for silent deployment.
Implement automated reporting for hardware inventory, license compliance, and security auditing.
4.
Security and Compliance Enforce endpoint security standards, including FileVault/BitLocker encryption and EDR agent health.
Partner with Security teams to remediate vulnerabilities across the endpoint fleet.
Required Qualifications Experience: Minimum 3 5 years in an Endpoint Engineering or MDM-focused role.
Jamf Mastery: Proven experience managing both macOS and iOS at scale via Jamf Pro.
Intune Proficiency: Experience managing Windows environments through Microsoft Endpoint Manager.
VDI Expertise: Hands-on experience with Amazon WorkSpaces administration.
BYOD Deployment: Experience deploying and managing a Bring Your Own Device (BYOD) program for personal mobile phones (iOS/Android).
Advanced Scripting: Ability to write and debug Bash and PowerShell scripts from scratch.
Identity: Understanding of Okta or Azure AD (Entra ID) as it relates to device enrollment and SSO.
Education and Certifications Bachelor's degree in Computer Science, IT, or equivalent professional experience.
Relevant certifications (e.g., Jamf 200/300, Microsoft MD-102, or AWS Certified Cloud Practitioner) are a plus.
About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
JAMF Pro, BYOD Deployment, Amazon WorkSpaces
- Onsite 12 Months Contract Looking only Locals who can do Onsite Interview We are seeking an Enterprise Agentic Platform Specialist to lead the design, development, and delivery of enterprise-scale Data Science and Generative AI (GenAI) solutions.
This role will drive the implementation of AI agents, LLM orchestration frameworks, and enterprise automation pipelines, working cross-functionally with business stakeholders, data engineers, data scientists, DevOps teams, and UI developers.
The ideal candidate will combine hands-on GenAI engineering expertise with strong program delivery capabilities, ensuring solutions deliver measurable business outcomes while meeting enterprise standards for governance, security, and Responsible AI.
Key Responsibilities AI Agent and GenAI Development Lead the end-to-end delivery of enterprise data science and GenAI solutions.
Design, develop, and deploy AI agents using Microsoft Copilot Studio, Claude agent frameworks, and enterprise LLM orchestration patterns.
Implement prompt engineering strategies, grounding techniques, and Retrieval-Augmented Generation (RAG) pipelines.
Architecture and Integration Define architecture standards for agentic systems, including tool calling schemas, prompt frameworks, grounding flows, and RAG pipelines.
Translate complex workflows into modular, automated, event-driven pipelines.
Integrate AI solutions with enterprise systems via REST APIs, Power Platform connectors, and enterprise data services.
Connect Copilot Studio agents to enterprise data sources such as: SharePoint Dataverse SQL SAP Enterprise Platform Integration Oversee system integration across enterprise platforms including: ServiceNow SharePoint Microsoft Teams Power Automate Azure APIs Design MCP-based agent architectures, integration layers, authentication flows (OAuth / Microsoft Entra), and system messaging frameworks.
Governance, Security and Responsible AI Collaborate with AI architects, MLOps teams, and security teams to enforce: Responsible AI standards Data governance policies Security and access control frameworks Model safety guidelines Implement agent observability frameworks including logging, telemetry instrumentation, latency metrics, error tracking, and automated remediation workflows.
Delivery and Program Management Lead cross-functional teams delivering AI solutions across data engineering, data science, DevOps, and UX teams.
Manage delivery using Agile / Scrum or hybrid PM methodologies.
Track dependencies, risks, sprint alignment, and release orchestration.
Metrics and Performance Monitoring Define KPIs and operational dashboards for AI automation, including: Cycle time reduction Accuracy improvements Governance compliance Agent uptime and reliability Required Qualifications Hands-on experience delivering enterprise Data Science and GenAI solutions.
Experience designing and deploying AI agents using Microsoft Copilot Studio or similar agent frameworks.
Strong knowledge of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
Experience integrating AI solutions with enterprise platforms and APIs.
Understanding of MLOps, governance frameworks, and Responsible AI standards.
Experience working in Agile delivery environments with cross-functional teams.
Preferred Qualifications Hands-on expertise building agents in Microsoft Copilot Studio.
Familiarity with agent frameworks such as: LangChain AutoGen CrewAI OpenAI Assistants / Functions APIs Experience implementing enterprise AI observability and monitoring frameworks.
Strong understanding of enterprise security, authentication, and governance models.
Thanks Sri Vardhan Chilakamukku Infobahn SoftWorld Inc.
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 JobAbout 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.
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.
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 Flight Controls Engineer at Reliable Robotics, you will be part of the Guidance, Navigation, and Control (GNC) Team. You will design, implement, integrate, and test flight control laws for all phases of operation including autotaxi, auto-takeoff, autoland, and automatic rollout. You integrate real-world hardware and C/C++ flight software as part of ongoing flight test programs, and perform simulation analysis and data reduction in our Python and C/C++ modeling & simulation environment.
Responsibilities
Establish autoflight and flight control system requirements
Interface with Pilots and Operations team to develop flight test plans, respond to squawks, and communicate design updates
Design and analyze flight control laws from conceptual design through implementation and certification
Develop simulation models to evaluate flight control system performance and stability
Implement control laws and algorithms in flight software
Test flight software in simulation, Monte Carlo, hardware-in-loop, and flight
Basic Success Criteria
BS in aerospace engineering, robotics, or equivalent field
3+ years of hands on, professional experience developing and testing flight controls algorithms
Experience with flight dynamics simulation and model identification
Professional experience with developing C/C++ flight software and Python data reduction & analysis
Excellent written and verbal communication skills
Preferred Criteria
MS in aerospace engineering, robotics, or similar advanced degree
Current pilot, instrument or commercial ratings
Experience with flight controls, autopilot, or flight management system certification
We are developing and building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the entire team, you will be making key contributions to the autoflight system that drive our core company mission forward.
This position is based at our facility in Mountain View, California.
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: $155K - $215K
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. Avionics Harness Technician at Reliable Robotics, you will be a part of the Production organization. This is a small but growing team of highly motivated people passionate about delivering quality products and services on time, with unquestionable value. You'll play a critical role in the build, operation, integration, test, diagnostics, inspection, and maintenance of highly reliable avionics systems, such as wiring harnesses and electromechanical hardware. You'll also help with the installation of those systems onto aircraft. Your work will support various product development phases such as prototype, research and development, aircraft certification, and recurring production. This is a fantastic opportunity to serve as the last line of defense for ensuring that our safety-critical systems are reliable and produced to the intended engineering requirements.
Responsibilities
Build, operate, integrate, test, diagnose, inspect, and maintain highly reliable systems, including wire harnesses, cable assemblies, avionics assemblies, and circuit card assemblies
Read, interpret, and work from drawings, controlled documentation, and processes such as drawings, layouts, assembly procedures/work instructions, schematics, engineering drawings, and master parts lists
Develop and improve manufacturing and installation instructions
Assure product and process quality by testing finished-product and process capabilities
Resolve product non-conformances and collaborate with the quality team to implement corrective actions
Record work performed in a clear, precise, and complete manner
Assist with the development of production and improvement processes
Basic Success Criteria
8+ years of professional experience building/fabricating wire harnesses or cable assemblies, or other testing, integration, or mechanical assembly experience
5+ years of hands-on experience reviewing technical designs and working from drawings, schematics, layouts, assembly/procedures, master parts lists, and other controlled documentation
One or more of the following certifications: IPC-A-610, IPC-A-620, IPC J-STD-001, NASA-STD-8739.4
Ability to proficiently use a PC/Mac, Google Suite, manufacturing execution systems, JIRA, or equivalent tools
Ability to lift 25-pound boxes to a height of 3-4 feet, with or without reasonable accommodation
Preferred Criteria
Experience working in an electro-mechanical manufacturing company, a precision manufacturing company, or a high-volume manufacturing company
Electro-mechanical assembly and prototype development experience
Experience setting up and running tests and experiment
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.
The position will be located at our facility in Mountain View, California.
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: $125K - $145K
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 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