Sr. Software Systems Safety Engineer

Software And Ai Safety Assurance EngineerApptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.Own the safety assurance of the software and AI that run our humanoid robots, from architecture analysis through verification evidence.

You will analyze software and AI safety architectures, lead the safety analyses, and assess whether the evidence supports our safety claims. You will draw on IEC 61508-3, ISO/IEC TS 22440, and deep experience with safety-critical software systems.Collaborate on system-level risk assessments, allocate risk reduction measures to software and AI elements, and own the breakdown of software-domain safety requirements into subsystem and element-level requirementsAnalyze and define the software safety architecture, including partitioning and freedom from interference, watchdogs, diagnostics, plausibility and timing monitoring, communication integrity, startup/shutdown behavior, and fault handlingLead software safety analyses, including software FMEA, fault tree analysis, dependent/common-cause failure analysis, and timing and resource analysisSpecify safety-related software behavior, such as monitors, diagnostics, and safe-state logic, and review software team designs against IEC 61508-3 requirements for the target SIL / SCDefine the IEC 61508-3 software safety plan and lifecycle, and assess team conformance through reviews and audits, including existing in-house, open-source, and third-party libraries, RTOS, and middlewareAssess software systematic capability and review verification evidence, including coverage, static analysis, fault injection, and software-in-the-loop and hardware-in-the-loop test results, for adequacy against safety claimsApply the AI safety lifecycle (ISO/IEC TS 22440) to AI/ML-enabled functions, defining the safety architecture around them, including independence of safety functions from learned components and the safety mechanisms that monitor themAssess AI/ML safety evidence against the AI safety lifecycle, including data and model assurance, performance limitations, and operational design domainOwn software requirements traceability and the software portion of the safety case, including gap assessments against standardsSupport product safety and compliance teams in certification and demonstration of standards conformityDemonstrated experience analyzing and assuring safety-critical software architectures, including software safety analyses and safety case developmentPractical application of the IEC 61508-3 or ISO 26262-6 (automotive) software lifecycle, with depth in software safety activities and qualification of existing software and tools, and experience with IEC 62061, ISO 13849, ISO 10218, ANSI/A3 R15.06, or ISO 25785-1 as relevantStrong knowledge of embedded software architectures, including RTOS, mixed-criticality partitioning, watchdogs, communication buses, and diagnosticsHands-on experience with FMEA/FMEDA, FTA, and dependent failure analysis, and with reviewing verification evidence such as fault injection, software-in-the-loop and hardware-in-the-loop testing, and test coverageWorking knowledge of safety for AI/ML-enabled systems, such as ISO/IEC TS 22440; familiarity with ISO/PAS 8800, UL 4600, or SOTIF preferredExperience with requirements and traceability tools such as JAMA; familiarity with Git, CI/CD, and static analysis; certification or third-party assessment experience preferredAbility to work cross-functionally and make sound, risk-based engineering decisionsExperience with common Product Development Processes / Product Lifecycle management including Agile, CMMI, Waterfall, etc. helping teams to deliver to organizational milestones.Bachelor's Degree in Systems Engineering, Computer Engineering, Electrical Engineering, Computer Science, Robotics, or a related field (or equivalent experience); Master's preferred8+ years of relevant engineering experience, including substantial responsibility for safety assurance or analysis of safety-critical software in complex electromechanical productsProlonged periods of sitting at a desk and working on a computerMust be able to lift 15 pounds at timesVision to read printed materials and a computer screenHearing and speech to communicateThe annual salary range is $200,000 - $240,000 base*This is a direct hire.

Please, no outside Agency solicitations.Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.