Senior Staff Safety Analytics and Metrics Engineer - Robot Safety

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  "description": "<p><strong><span style=\"color:#000000\">Senior Staff Safety Analytics &amp; Metrics Engineer, Robot Safety<br></span></strong><span style=\"color:#000000\">San Carlos, CA (on-site)</span></p><p style=\"min-height: 1.7em;\"></p><p><strong><span style=\"color:#000000\">About 1X<br></span></strong><span style=\"color:#000000\">We build humanoid robots that work alongside people to solve labor shortages and create abundance.</span></p><p style=\"min-height: 1.7em;\"></p><p><strong><span style=\"color:#000000\">The Role<br></span></strong><span style=\"color:#000000\">As a </span><strong><span style=\"color:#000000\">Senior</span></strong><span style=\"color:#000000\"> </span><strong><span style=\"color:#000000\">Staff Safety Analytics &amp; Metrics Engineer</span></strong><span style=\"color:#000000\">, you will lead the definition, analysis, and communication of </span><strong><span style=\"color:#000000\">quantitative safety metrics</span></strong><span style=\"color:#000000\"> that track safety performance across the robot lifecycle. This role is central to 1X’s mission to build credible, evidence-backed safety narratives that inform internal decision-making and external transparency. You will analyze validation results, simulations, and field data to inform deployment readiness while shaping public-facing safety reports rooted in real-world performance. You will report to the Director of Robot Safety.</span></p><p style=\"min-height: 1.7em;\"></p><p><strong><span style=\"color:#000000\">You Will</span></strong></p><ul><li><p><span style=\"color:#000000\">Define and maintain </span><strong><span style=\"color:#000000\">safety KPIs and metrics</span></strong><span style=\"color:#000000\"> aligned with real-world hazards and risk exposure</span></p></li><li><p><span style=\"color:#000000\">Analyze data from </span><strong><span style=\"color:#000000\">simulation, validation, and field operations</span></strong><span style=\"color:#000000\"> to assess safety performance</span></p></li><li><p><span style=\"color:#000000\">Identify regressions and emerging risks due to software or hardware changes</span></p></li><li><p><span style=\"color:#000000\">Collaborate cross-functionally with Functional Safety, V&amp;V, and Safety Assurance to ensure metrics support safety cases and deployment decisions</span></p></li><li><p><span style=\"color:#000000\">Clearly communicate </span><strong><span style=\"color:#000000\">uncertainty, assumptions, and data limitations</span></strong></p></li><li><p><span style=\"color:#000000\">Support executive decision-making through </span><strong><span style=\"color:#000000\">concise, data-driven safety insights<br><br></span></strong></p></li></ul>",
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  "requirements": "<p><strong><span style=\"color:#000000\">Must Have</span></strong></p><ul><li><p><span style=\"color:#000000\">M.S. or higher in Engineering, Computer Science, Data Science, or related field</span></p></li><li><p><span style=\"color:#000000\">10+ years of experience in </span><strong><span style=\"color:#000000\">safety analytics, system performance, or reliability engineering</span></strong><span style=\"color:#000000\"> for safety-critical products (robotics, autonomous vehicles, medical devices, aerospace, or industrial automation)</span></p></li><li><p><span style=\"color:#000000\">Expertise defining and implementing metrics for </span><strong><span style=\"color:#000000\">complex, real-world systems</span></strong></p></li><li><p><span style=\"color:#000000\">Proficiency in </span><strong><span style=\"color:#000000\">Python</span></strong><span style=\"color:#000000\"> and </span><strong><span style=\"color:#000000\">SQL</span></strong><span style=\"color:#000000\"> to analyze large-scale fleet data and build statistically sound metrics</span></p></li><li><p><span style=\"color:#000000\">Proven ability to reason about </span><strong><span style=\"color:#000000\">risk, uncertainty, and confidence levels</span></strong></p></li><li><p><strong><span style=\"color:#000000\">Strong quantitative and statistical reasoning skills</span></strong></p></li><li><p><span style=\"color:#000000\">Excellent </span><strong><span style=\"color:#000000\">technical writing</span></strong><span style=\"color:#000000\"> skills for both internal audiences and public-facing safety communication</span></p></li></ul><p style=\"min-height: 1.7em;\"></p><p><strong><span style=\"color:#000000\">Preferred Qualifications</span></strong></p><ul><li><p><span style=\"color:#000000\">Demonstrated analysis of safety performance in autonomous or learning-enabled systems</span></p></li><li><p><span style=\"color:#000000\">Application of statistical methods to model low-frequency, high-severity events in safety-critical systems</span></p></li><li><p><span style=\"color:#000000\">Experience supporting external reviews, audits, or regulatory scrutiny with quantitative safety evidence</span></p></li></ul><p style=\"min-height: 1.7em;\"></p><p style=\"text-align:start;\"><strong>Benefits &amp; Compensation</strong></p><ul><li><p>Salary Range: $<span style=\"color:#1D1C1D\">170k-$259k</span>+ Equity</p></li><li><p>Health, dental, and vision insurance</p></li><li><p>401(k) with company match</p></li><li><p>Paid time off and holidays</p></li></ul><p style=\"min-height: 1.7em;\"></p><p><strong>Equal Opportunity Employer</strong><br><span style=\"color:#454545\">1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.</span></p><p style=\"min-height: 1.7em;\"></p><p style=\"min-height: 1.7em;\"></p>",
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      "requirements": "<p><strong><span style=\"color:#000000\">Must Have</span></strong></p><ul><li><p><span style=\"color:#000000\">M.S. or higher in Engineering, Computer Science, Data Science, or related field</span></p></li><li><p><span style=\"color:#000000\">10+ years of experience in </span><strong><span style=\"color:#000000\">safety analytics, system performance, or reliability engineering</span></strong><span style=\"color:#000000\"> for safety-critical products (robotics, autonomous vehicles, medical devices, aerospace, or industrial automation)</span></p></li><li><p><span style=\"color:#000000\">Expertise defining and implementing metrics for </span><strong><span style=\"color:#000000\">complex, real-world systems</span></strong></p></li><li><p><span style=\"color:#000000\">Proficiency in </span><strong><span style=\"color:#000000\">Python</span></strong><span style=\"color:#000000\"> and </span><strong><span style=\"color:#000000\">SQL</span></strong><span style=\"color:#000000\"> to analyze large-scale fleet data and build statistically sound metrics</span></p></li><li><p><span style=\"color:#000000\">Proven ability to reason about </span><strong><span style=\"color:#000000\">risk, uncertainty, and confidence levels</span></strong></p></li><li><p><strong><span style=\"color:#000000\">Strong quantitative and statistical reasoning skills</span></strong></p></li><li><p><span style=\"color:#000000\">Excellent </span><strong><span style=\"color:#000000\">technical writing</span></strong><span style=\"color:#000000\"> skills for both internal audiences and public-facing safety communication</span></p></li></ul><p style=\"min-height: 1.7em;\"></p><p><strong><span style=\"color:#000000\">Preferred Qualifications</span></strong></p><ul><li><p><span style=\"color:#000000\">Demonstrated analysis of safety performance in autonomous or learning-enabled systems</span></p></li><li><p><span style=\"color:#000000\">Application of statistical methods to model low-frequency, high-severity events in safety-critical systems</span></p></li><li><p><span style=\"color:#000000\">Experience supporting external reviews, audits, or regulatory scrutiny with quantitative safety evidence</span></p></li></ul><p style=\"min-height: 1.7em;\"></p><p style=\"text-align:start;\"><strong>Benefits &amp; Compensation</strong></p><ul><li><p>Salary Range: $<span style=\"color:#1D1C1D\">170k-$259k</span>+ Equity</p></li><li><p>Health, dental, and vision insurance</p></li><li><p>401(k) with company match</p></li><li><p>Paid time off and holidays</p></li></ul><p style=\"min-height: 1.7em;\"></p><p><strong>Equal Opportunity Employer</strong><br><span style=\"color:#454545\">1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.</span></p><p style=\"min-height: 1.7em;\"></p><p style=\"min-height: 1.7em;\"></p>",
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