Lead Safety Case Engineer

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. What you’ll do Own a defined scope of the safety case end-to-end, leading it from initial drafting through sign-off and maintaining continuous governance as upstream dependencies evolve. As author of record, you hold ultimate accountability for defending the argument. Architect clear argument boundaries and constraints, defining operational conditions, valid assumptions, explicit exclusions, and non-credible hazards within your scope. Evaluate evidence sufficiency and coverage, scrutinizing operating experience metrics and data provenance while partnering directly with Functional Safety, Scenario Validation, and Fleet Operations leads to synthesize required evidence. Construct the Claim-Argument-Evidence (CAE) structure, establishing precise validity boundaries so it is transparent exactly when safety claims hold and when they do not. Lead formal safety reviews and peer governance, convening reviews only when evidence meets maturity standards, driving reviewer feedback to documented resolution, and serving as an independent reviewer for peer scopes. Drive rigor in shared methodologies and tooling, proactively identifying process gaps or ambiguous rules to prevent local workarounds from compromising organizational safety standards. Pioneer AI-assisted safety engineering workflows, leveraging AI tools to draft from templates, stress-test candidate hazard sets, cross-check scenario coverage, maintain end-to-end traceability, and rapidly flag invalidated claims. What we’re looking for 9+ years of cross-functional experience spanning functional safety, autonomous behavior, and fleet operations, featuring deep expertise in at least two areas and working fluency in the third. Specialists in a single domain…