Engineering Structures Jobs in Cupertino, CA

About Diversified:

Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back.

What to Expect:

At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you.

As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion.

IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED.

The Engineering Leader is responsible for leading the Design Engineering organization across the company and ensuring consistent, high-quality, and profitable project delivery. Reporting to the Vice President of Engineering Operations, this role oversees Engineering Managers and Design Engineering teams, driving accountability, operational efficiency, and technical excellence throughout the project lifecycle.

A core focus of this position is ensuring Design and Project Engineers are positioned to perform their highest-value work-developing client relationships, shaping execution strategies, and ensuring system accuracy and expected functionality. This role partners closely with Engineering Documentation leadership to ensure documentation and support workflows are effectively leveraged, allowing Design Engineering resources to remain focused on technical leadership and client-facing responsibilities.

Responsibilities include, but are not limited to:

• 
  
  
• Own the performance, development, and accountability of Engineering Managers leading Design Engineering teams, setting clear expectations and holding leaders responsible for team results, delivery quality, and professional growth.
  
  
• Establish and sustain a culture of ownership and accountability across the engineering organization by defining measurable standards for project delivery, documentation quality, and client satisfaction, and addressing performance gaps directly.
  
  
• Drive engineering efficiency and profitability by identifying misaligned workflows, reducing non-value-added engineering effort, and ensuring appropriate use of engineering support and documentation resources.
  
  
• Partner with Support Engineering leadership to ensure effective utilization of engineering support teams, removing barriers that prevent smooth handoff and enabling Engineers to focus on high-value technical work.
  
  
• Ensure Engineers are consistently focused on client relationship development, execution planning, technical accuracy, and system functionality throughout the project lifecycle.
  
  
• Maintain visibility into presales pipeline and active project lifecycle status, comparing as-sold versus as-delivered labor, identifying value-engineering opportunities, and supporting financial performance improvement.
  
  
• Collaborate with Field and Fabrication Services and Project Management leadership to align engineering capacity with project demand, participating in resource planning and ensuring engineering support meets business needs.
  
  
• Establish, enforce, and audit engineering standards and delivery processes that support consistent, high-quality outcomes, reducing variability and improving first-time quality across projects.
  
  
• Serve as the senior escalation point for engineering-related issues impacting project delivery or client satisfaction, intervening when projects are off track and guiding recovery plans with responsible managers.
  
  
• Provide leadership input on hiring, succession planning, and organizational design for Engineering Manager roles, ensuring alignment with technical requirements and cultural expectations.
  
  
• Track, analyze, and act on key engineering performance metrics, including utilization, margin contribution, rework rates, schedule adherence, and client satisfaction, using data to drive continuous improvement.
  
  

Required Skills and Experience

• 
  
  
• Bachelor Degree Required, preferably in Engineering, Construction Management or related field.
  
  
• 10+ years of experience in systems integration, audiovisual engineering, or a related technical field with progressive leadership responsibility.
  
  
• 3+ years of experience managing managers or leading large, multi-project technical teams.
  
  
• AVIXA CTS, CTS-I, or CTS-D certification.
  Demonstrated success improving team performance and delivering measurable business results.
  
  
• Experience developing, implementing, and enforcing engineering standards and processes at scale.
  
  
• Strong understanding of the full project lifecycle from design through commissioning.
  
  
• Experience partnering cross-functionally with Sales, Project Management, and Field & Fabrication Services.
  
  
• Ability to read and interpret architectural drawings, system schematics, and technical specifications.
  
  
• Financial acumen, including labor forecasting, project budgets, and margin impact analysis.
  
  
• Strong problem-solving skills with a bias toward action and resolution.
  
  
• Effective written and verbal communication skills suitable for executive-level engagement.
  
  

What We Offer:

Along with competitive compensation, you will be eligible for the following benefits:

• 
  
  
• Multiple medical plan options to suit your family's needs
  
  
• Dental (including orthodontic coverage) and vision plans
  
  
• Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)
  
  
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  
  
• 401k with Employer Match
  
  
• Paid Time Off and Paid Holidays
  
  
• Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services
  
  
• Commuter Benefits
  
  
• And much more
  
  

To learn more about becoming part of the Diversified team, visit us at our career siteor email us at .

Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered.

If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you.

Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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 Manufacturing Manager at Reliable Robotics, you'll be responsible for manufacturing capacity and throughput, factory development and layout, leading a team of engineers and technicians, and improving our manufacturing 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 have overall accountability for the manufacturing output of a broad portfolio of products, including mechanical, electromechanical, and/or electrical/avionics assemblies. You will also be responsible for leading hiring activities, managing manufacturing layout, equipment maintenance, optimizing manufacturing flow, ensuring tooling and and working with engineering on design for excellence (DFx) improvements. They also handle workforce development, production scheduling, risk mitigation, and performance monitoring to meet production targets. You are responsible for establishing the standards by which this team would operate, and for transitioning the organization from a start-up into a disciplined manufacturing organization. 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

• Responsible for building, testing, troubleshooting/diagnosing, inspecting, and maintaining Reliable-designed mechanical, electromechanical, and/or electrical/avionics assemblies, harnesses, and interconnects

• Lead, coach, and provide technical mentorship to a team of engineers and technicians; write bi-annual reviews and manage the team's performance

• Lead hiring, recruitment, and training for the technician team

• Lead efforts to transition our products from engineering development to production

• Ensure design for excellence (DFx) is communicated to the engineering and drive implementations across all manufacturing areas to improve cost, producibility, inspectability, consistency, adequacy, accuracy, and achieve conformance to requirements

• Responsible for maturing the manufacturing factory and layout, including optimizing material flow, factory equipment (e.g., tooling, inspection, test, etc.) maintenance, tooling, automation, and business system

• Monitor and communicate manufacturing status and risks, and establish key performance metrics to meet manufacturing targets

• Partner with design, engineering, supply chain, and other departments to synchronize project plans and ensure manufacturing can meet demand

• 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

• Ensure root-cause analysis is implemented and timely corrective actions are taken to maintain schedule, quality, and reliability

Basic Success Criteria

• Bachelor's degree in mechanical, electrical, aerospace, or systems engineering

• 5+ years of manufacturing, design, and/or testing experience

• 3+ years of experience with computer-aided design (CAD) and Product Lifecycle Management (PLM) software, such as Altium, NX, and Teamcenter

• Strong leadership, communication, team-building, and problem-solving skills

Preferred Success Criteria

• Experience with assembly, machining, fabrication, soldering, Electro-Static Discharge (ESD), Foreign Object Debris (FOD), and test methods

• Prior experience in troubleshooting, repairing, setting up, and operating complex hardware in a safety-critical environment

• Research and Development (R&D) or New Product Introduction (NPI) experience

• Experience with industry or regulatory requirements such as AS9100, CFR 14 CFR 21.137, and/or 14 CFR Part 145

• Previous leadership or management experience

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 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: $130K - $195K

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. Production and Engineering 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 systems, including electro-mechanical assemblies, wiring harnesses, components, and subassemblies. 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 avionics and electromechanical assemblies, wire harnesses, 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

• 7+ years of professional experience building and testing electromechanical assemblies, fabrication, integration, or mechanical assembly experience

• 4+ years of hands-on experience reviewing technical designs and working from drawings, schematics, layouts, assembly/procedures, master parts lists, and other controlled documentation

• 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

• IPC and/or J-STD certification

• 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 experiments

• Experience with electrical wiring

• Soldering experience

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

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 4,000 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.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

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
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

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)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• 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
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

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.

Our Commitment to Inclusion:

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 600 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 4,000 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.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

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
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

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)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• 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
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#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.

Our Commitment to Inclusion:

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 Senior Software Engineer - Engineering Productivity at Reliable Robotics, you will design, and implement software to support the development, analysis, and certification of automated aircraft systems. You will work closely with product owners and end users to develop solutions that enable and optimize engineering development workflows. The software you produce will be critical to the development and certification of the first fully autonomous aircraft.

Responsibilities

In your role as an internal tool developer, you will develop applications, infrastructure, and tools used by engineering to capture product requirements and interface definitions, model the product architecture and design, and reduce and analyze flight and lab test data. You will supercharge the engineering organization's efficiency and effectiveness by streamlining tools and processes. You will work with other teams and stakeholders to establish technical and UX design requirements for these projects and own the "plan, code, build, test, release, deploy" lifecycle of these applications and services.

Basic Success Criteria

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience

• 5+ years experience with professional full stack web development in a team setting

• Professional experience with core browser technologies (JavaScript, HTML, CSS) and TypeScript

• Experience structuring dynamic, model-driven data and determining data relationships

• Experience working with SQL, NoSQL, and time series databases

• Experience designing software architecture for both new and existing projects

Preferred Criteria

• Experience using Python and libraries such as pandas, matplotlib, and django

• Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker

• Experience designing and implementing ingestion pipelines for high-throughput streams of real-time telemetry

• Experience integrating business intelligence and data visualization tools such as Tableau, Power BI, Superset, Metabase

• Experience developing React components and reusable libraries/tools for developers

At Reliable Robotics, we believe that our internal tools are key ingredients to our success. Aircraft design, integration, and certification are highly complex processes requiring diligent management of data and their relationships. Traditionally a paper process, our tools enable our system designers to move faster, conduct more thorough and comprehensive analyses, and design safer aircraft systems. Come be a part of taking our products to the next level.

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

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 Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.

What you'll do:

• 
  
• Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
  
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
  
• Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
  
• Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  
• 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
  
• 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
  
• Deep knowledge with building distributed systems.
  
• Strong cross-functional collaborator and communicator.
  
• Strong people development skills.
  
  

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-HYBRID

#LI-AH2

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.

Our Commitment to Inclusion:

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.

Our Commitment to Inclusion:

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.

Our Commitment to Inclusion:

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.

The mechanical team is a small group of highly motivated people designing, testing, and flying advanced mechanical systems. We enjoy cradle-to-grave hardware ownership and hands-on build, test, and integration of our designs. As a Sr. Mechanical Engineer at Reliable Robotics, you will be an influential part of the Mechanical Engineering team helping to drive engineering methods and product quality. The hardware focus is on high reliability safety critical mechanisms and structures, with significant cross-functional development with the Systems, Avionics, GNC, Software, Manufacturing, and Flight Test teams. The position will be located at our facility in Mountain View, California, reporting to the Mechanical Engineering Manager.

Responsibilities

You will design, analyze, build, test, and fly a system of actuators, mechanisms, and structural modifications to enable remote piloted aircraft. Own your hardware from initial conception through flight test and certification...this is cradle-to-grave engineering with hands-on build, test, and integration. Lead cross-functional trades and drive performance and design decisions to closure. You will bring a sense of humility, and be ready to both learn and teach.

Basic Success Criteria

• BS in mechanical or aerospace engineering, or equivalent experience

• 5+ years professional experience developing mechanical systems

• Mastery of at least one of the following areas: Design, Analysis, Manufacturing, Test, or Certification

• Demonstrated successful project ownership

Preferred Criteria

• Demonstrated understanding of structural analysis and failure modes of mechanical systems

• Ability to assess and prioritize mechanical architectures for safety and reliability

• Previous experience with aircraft or other safety-critical mechanical systems

• Experience developing engineering infrastructure such as CAD systems, configuration management, PLM, ERP, and MRP systems

• Design for manufacturability and volume production

• Eagerness and ability to mentor junior engineers

• Proactive problem solver

• Excellent written and verbal communication skills

Must be willing to travel up to 10% of the time.

The estimated salary range for this position is $180,000 to $260,000/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: $180K - $260K

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 Mechanical Engineer at Reliable Robotics, you will be part of the Mechanical Engineering team. This is a small team of highly motivated people designing, testing, and flying advanced mechanical systems. We enjoy cradle-to-grave hardware ownership and hands-on build, test, and integration of our designs. The hardware focus is on high reliability safety critical mechanisms and structures, with significant cross-functional development with the Systems, Avionics, GNC, Software, Manufacturing, and Flight Test teams. The position will be located at our facility in Mountain View, California, reporting to the Mechanical Engineering Manager.

Responsibilities

• Design, analyze, build, test, and fly a system of actuators, mechanisms, and structural modifications to enable remote piloted aircraft

• Work with a team of top performing mechanical engineers alongside the greater Reliable team of outstanding Electrical, Systems, Software, GNC, Manufacturing, and Flight Test engineers

• Own your hardware from concept through flight test and certification . . . this is cradle-to-grave engineering with hands-on build, test, and integration

• Bring a sense of humility, and be ready to both learn and teach

Basic Success Criteria

• BS in mechanical or aerospace engineering, or equivalent experience

• 2+ years professional experience developing mechanical systems

• Experience with current CAD and FEM packages

• Experience in innovative system designs

• Excellent written and verbal communication skills

• Attention to detail

Preferred Criteria

• Expertise in electromechanical or mechanical engineering

• Demonstrated ability to drive designs to closure

• Experience taking designs through FAA certification

• Design for manufacturability and volume production

• Previous experience with aircraft or other safety-critical mechanical systems

• Flight and/or ground test familiarity or experience

Must be willing to travel up to 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

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 an Avionics Mechanical Engineer at Reliable Robotics, you will be a part of the Vehicle Design and Integration team and will report to the Vehicle Design and Integration Manager. This team is a small group of highly motivated people designing, testing, and flying advanced mechanical systems. The harness engineer is a very cross-functional role at the convergence of the avionics, mechanical, integration, and production teams, with significant hands-on work designing, building, integrating, and testing our harnesses, enclosures, and mounting hardware; expect to broaden your design and application experience. This position will be located at our facility in Mountain View, California.

Responsibilities

In your role as Avionics Mechanical Engineer you will work with the avionics, mechanical, and integration teams to define the hardware interfaces, design the detailed harnesses including definition of the harness routing, design and test enclosures for environmental protection, and design the structural mounts for securing the hardware in the airplane. You'll have the opportunity to design, install, and test your hardware on a remotely operated aircraft, and you'll be an instrumental part of how our hardware teams come together on the airplane.

Basic Success Criteria

• BS in Mechanical Engineering, Electrical Engineering, or equivalent industry experience

• 2+ years experience in mechanical or avionics hardware design

• Ability to route harnessing (both in CAD and physically in the airplane) in a strategic manner

• Experience working with connectors, backshells, EMI shielding, and cable/wire protection methods

• Experience designing and analyzing structural mounts

• A love of spatial packaging

• Be logical, inquisitive, and eager to both teach and learn

Preferred Criteria

• 4+ years experience in harness design and avionics packaging

• Experience performing design trades for and detail design of aerospace flight harnesses

• Experience with NX routing and Capital Harness Designer

• Experience designing avionics enclosures

• Experience working on certification-path aviation development projects

• Experience testing hardware to DO-160 requirements

The position will be located at our facility in Mountain View, California. Must be willing to travel up to 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

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 Radar Hardware Design Engineer, you will be a part of our Radar Engineering team. The Radar Engineering team is comprised of a small cross-functional team of motivated and experienced engineers; we're responsible for designing, building, and testing cutting-edge phased array radar systems from concept to certified product. We enjoy a culture of sharing information and collaboration. Phased array radar systems have historically been reserved for specialized applications, but we're making this technology affordable to enable Detect and Avoid for widespread commercial applications. This role will focus on new advanced operational modes. The passion for revolutionary technology to make aviation safer motivates us to come in every day.

Responsibilities

In your role as a Radar Design Engineer, you will be responsible for designing digital and analog circuits for our next-generation Radar system. You will be involved in all phases of development, from conception to production, tracing system-level requirements through to circuit-level design. You will drive the design and layout of a multi-processor with an FPGA on chip using DDR 4 memory, as well as designing switching and linear power supplies. The high-speed digital design is complemented by high-frequency analog and RF design up to 12GHz. You will own the schematic, layout, artwork generation and bring-up of hardware. You will be collaborating with the cross-functional teams, including mechanical and system engineering. You will be responsible for the certification of your design to DO-160, DO-254 design assurance and FCC certification. You will support radar system integration and testing in the engineering lab and on the aircraft.

Basic Success Criteria

• Electrical Engineering fundamentals, typically gained through a Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or a related discipline

• 5+ years of professional hands-on experience with high-speed digital circuits, linear and switching power regulator circuits, PLL's, VGA, mixers etc.

• Ability to use Circuit simulators, Altium schematic capture and layout, and SPICE simulation software

• Ability to troubleshoot, find root cause, and resolve issues

• Experienced in using oscilloscopes, logic analyzers, spectrum analyzers and Vector Network Analyzers

Preferred Criteria

• Advanced Degree of Science or Electrical Engineering

• Experience developing system architectures and managing requirements for certification of Avionics

• Creative problem solver that can bring multiple disciplines together, with the ability to assess risk and make design and development decisions without all available data

• Experience integrating and troubleshooting various electronic sensors and components

• RF circuit design experience up to 12GHz

• DO-160 and DO-254 hardware design assurance experience

This position will be located at our facility in Mountain View, California.

Must be willing to travel 10% of the time.

The estimated salary range for this position is $190,000 to $250,000/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: $190K - $250K

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. Electrical Test Engineer at Reliable Robotics, you will be a part of the avionics engineering team. We develop the wide variety of computing, sensing and actuation, power, and communications systems that are at the core of our automation system. We're looking for a broadly experienced individual to apply their electrical engineering and software automation skills to develop robust test solutions for complex hardware in a safety-critical environment. This is a clean-slate opportunity to grow our primitive test operations into a production worthy operation.

Responsibilities

• Lead the development of automated test equipment systems for functional, environmental qualification, and manufacturing acceptance tests

• Analyze test results to identify failure modes, lead root cause investigations, and drive improvements back into designs

• Author, execute, and audit test plans, procedures, and reports

• Collaborate with cross-functional teams to facilitate successful testing campaigns

• Drive continuous improvement to test system infrastructure, processes, and practices

Basic Success Criteria

• Bachelor's degree in electrical engineering, computer engineering, or equivalent experience

• 8+ years of full cycle electronics hardware test or development experience in a professional environment

• Strong knowledge of electrical engineering fundamentals

• Extensive experience with test equipment, measurement techniques, and processes for hardware verification

• Experience with programming/scripting languages (C, C++, Python) and ability to develop and maintain test software

Preferred Criteria

• Advanced degree in electrical engineering or computer engineering

• Familiarity with formal industry test standards such as RTCA DO-160, MIL-STD-461/810, or similar

• Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE

• Excellent written and verbal communication skills

• Ability to work both independently and as a leader of a high performing team

This role provides an opportunity to own a wide variety of testing that is essential in verifying the safe and reliable operation of the next generation of avionics for unmanned aircraft systems. This role also has the potential to lead into a leadership role in a player/coach capacity.

This role is on-site in Mountain View, CA.

Must be willing to travel 30% of the time.

The estimated salary range for this position is $188,000 to $250,000/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: $188K - $250K

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. Quality Assurance and Reliability Engineer, you'll be a part of the Production organization. You'll bring the technical leadership required to verify product safety and reliability, lead investigations, identify and implement corrective actions, and ensure improvements are implemented. This is a small but growing team of highly motivated people who are passionate about delivering quality products and services with velocity and unquestionable value. You will be responsible for the strategy and execution of the quality management system, risk mitigation, risk prevention, design reliability, hardware reliability, flight reliability, test validation, and production optimization. As Reliable Robotics continues to grow and scale, you'll be responsible for increasing the velocity of the business, maturing processes, and building automations to enable company success. 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

• Work with the design, manufacturing, test, and flight teams to produce reliable products, ensure compliance, and drive continuous improvement across the business. You'll have the opportunity to work directly with flight hardware in the factory and on the plane, run investigations and containment on safety-critical products, and watch your processes build the first certifiable autonomous aircraft.

• Partner with design, manufacturing, and test teams through product development, acceptance testing, and quality checkouts to create reliable hardware verification for flight components and systems, including identification of key operating characteristics, prototype development testing for functionality and manufacturability, flight and prototype planning development, and collation of test anomalies and lessons learned.

• Develop and manage the quality management system to ensure compliance with processes, work instructions, certifications, and regulatory requirements.

• Investigate anomalies in manufacturing, supply chain, testing, and flight, identifying and mitigating the immediate and underlying root causes to manage risk and improve the reliability of designs and processes.

• Support the development, manufacturing, and verification of products using continuous improvement and statistical techniques.

• Develop, implement, and validate test and inspection methodologies for new and existing products, ensuring objective criteria are consistently met and quality goals are met.

• Derive, automate, and report quality metrics to the business and provide recommendations for design, product, and process improvements.

Basic Success Criteria

• Bachelor's Degree in Mechanical Engineering, Electrical Engineering, Aerospace, Software Engineering, or a similar advanced degree

• 7+ years of professional experience in design engineering, manufacturing, test, software, or quality and reliability engineering

• 2+ years of professional experience with investigations, design of experiments, and other investigatory and problem-solving methods

• Experience with quality, risk, and/or safety management systems and processes

Preferred Criteria

• 2+ years of experience with Federal Aviation Administration (FAA) regulatory requirements (e.g., 14 CFR 21, DO-160, D0-254, etc.)

• 2+ years of programming experience in Python, C, or SQL with an emphasis on data analysis and automation

• Experience evaluating, defining, strategizing, and executing test campaigns and procedures

• Experience developing engineering infrastructure and tools in support of the Quality Management System (QMS)

• Excellent written and verbal communication skills

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 20% 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: $165K - $220K

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 an Electrical Test Engineer at Reliable Robotics, you will be a part of the avionics engineering team. We develop the wide variety of computing, sensing and actuation, power, and communications systems that are at the core of our automation system. We're looking for a broadly experienced individual to apply their electrical engineering and software automation skills to develop robust test solutions for complex hardware in a safety-critical environment. This is a clean-slate opportunity to grow our primitive test operations into a production worthy operation.

Responsibilities

• Lead the development of automated test equipment systems for functional, environmental qualification, and manufacturing acceptance tests

• Analyze test results to identify failure modes, lead root cause investigations, and drive improvements back into designs

• Author, execute, and audit test plans, procedures, and reports

• Collaborate with cross-functional teams to facilitate successful testing campaigns

• Drive continuous improvement to test system infrastructure, processes, and practices

Basic Success Criteria

• Bachelor's degree in electrical engineering, computer engineering, or equivalent experience

• 2+ years of full cycle electronics hardware test or development experience in a professional environment

• Experience with programming/scripting languages (C, C++, Python) and ability to develop and maintain test software

• Ability to methodically diagnose, document, and solve electronic hardware problems

Preferred Criteria

• Advanced degree in electrical engineering or computer engineering

• Familiarity with formal industry test standards such as RTCA DO-160, MIL-STD-461/810, or similar

• Experience with test equipment, measurement techniques, and processes for hardware verification

• Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE

• Excellent written and verbal communication skills

• Ability to work well independently and cross-functionally across multiple organizations

This role provides an opportunity to own a wide variety of testing that is essential in verifying the safe and reliable operation of the next generation of avionics for unmanned aircraft systems.

This role is on-site in Mountain View, CA. Must be willing to travel 30% of the time.

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: $110K - $168K

About the Company

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

About the Role

We’re seeking an Electrical Design Engineer to join our innovative team focused on building cutting-edge network security and telecommunications hardware. This is a high-impact role where you’ll contribute to the design, development, and optimization of mission-critical systems used by global enterprises.

Responsibilities

• Provide ongoing support for deployed hardware systems, ensuring reliability and performance.
• Identify opportunities for design enhancements and implement changes to improve efficiency, scalability, and manufacturability.
• Lead investigations into hardware failures, applying analytical techniques to identify and resolve root causes.
• Develop and execute test plans to validate hardware functionality, performance, and compliance with industry standards.
• Work closely with software, firmware, and mechanical engineering teams to ensure seamless integration and product success.

Qualifications

• Bachelor’s degree or higher in Electrical/Computer Engineering or a related field, with 6 years of experience in hardware design and development, ideally in network security or telecommunications.

Required Skills

• Strong foundation in analog and digital circuit design principles.
• Proficiency with schematic capture and PCB layout tools such as Altium, Cadence, or OrCAD.
• Solid understanding of signal integrity, power integrity, and thermal management.
• Hands-on experience with networking and communication protocols (e.g., TCP/IP, Ethernet, VPN).
• Hands-on experiences with High-speed design validation and circuit debugging.
• Demonstrates strong problem-solving skills and keen attention to detail, with the ability to clearly communicate complex technical concepts to diverse audiences through both written and verbal channels.

Pay range and compensation package

The base compensation range for this role in the posted location is $58,900 to $130,000.

Equal Opportunity Statement

We are committed to diversity and inclusivity.