As a Reliability Engineer, you will lead FMEA, develop test plans, execute tests, analyze results, and collaborate with teams for robotic systems.
About you and this role:
Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible and genuinely autonomous.
As a reliability engineer at Robust AI you will join a small fast-paced team working to design and deploy the next generation of warehouse robotic systems. Working with the other engineers on the team you will perform FMEA of our system and prioritize, develop and run reliability tests. You are someone who is excited about breaking things, understanding why they broke and proposing solutions so they don’t do that in the field. You are someone who is comfortable working in an early stage startup environment and are able to pivot effectively. The base pay range for this role is between $150,000 and $200,000, dependent on your skills, qualifications and experience.
Main responsibilities:
- Lead and own FMEA for the robot
- Develop test plans at the component, subsystem and robot level
- Prioritize testing based on risk and schedule constraints
- Execute on test plans, collaborating with mechanical, embedded and software teams if needed
- Analyze results of testing and make recommendations to the team
What you’ll bring to the table:
- 4+ years of experience in reliability engineering or related test field
- Proficiency in reliability engineering principles, statistics, and failure analysis technique
- Strong analytical, problem-solving, and communication skills
- Ability to work effectively cross functionally (mechanical, electrical, manufacturing, embedded)
What we offer:
- Base pay between $150,000 and $200,000, dependent on your skills, qualifications and experience.
- Stock options and huge potential for growth. Medical, Dental, and Vision coverage.
- Flexible vacation and sick leave practices.
- Paid parental leave.
Robust AI fosters a culture of belonging and a shared commitment to equality and equity.
Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
Top Skills
Failure Analysis
Reliability Engineering Principles
Statistics
Robust.AI San Carlos, California, USA Office
1050 Commercial St,, San Carlos, CA, United States, 94070
Similar Jobs
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Reliability Engineer will drive Reliability programs, lead FMEA efforts, perform predictive analysis, and support testing and analysis for military systems.
Top Skills:
Failure Modes And Effects AnalysisFault Tree AnalysisFmeaMil-Hdbk-217Mil-Std-1629Mil-Std-461Mil-Std-516CMil-Std-810Predictive ModelingReliability Engineering ToolsWeibull Analysis
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
As a Reliability Engineer at Anduril, you will ensure products meet performance standards, guide analyses, support testing, and develop reliability processes across product lifecycles.
Top Skills:
217PlusFault Tree AnalysisFmeaMil-Hdbk-217Mil-Std-1629Mil-Std-461Mil-Std-516CMil-Std-810Reliability Engineering ToolsWeibull Analysis
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
Responsible for enhancing incident management, troubleshooting during incidents, delivering executive summaries, and analyzing incident response effectiveness while collaborating with engineering teams.
Top Skills:
AIDatadogMlNew RelicSplunk
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


