{"id":667204,"url":"https://alion.io/job/rhoda-senior-system-safety-engineer-robot-stability","title":"Senior System Safety Engineer- Robot Stability","company":{"id":685148,"name":"Rhoda AI","domain":"rhoda.ai","url":"https://alion.io/company/rhoda","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":42,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":87,"computed_at":"2026-10-31T05:58:55Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gazebo","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Model Predictive Control","optional":false},{"name":"MuJoCo","optional":false},{"name":"Python","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"Verification & Validation","optional":false},{"name":"World Models","optional":false},{"name":"FMEA","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-03-10T03:10:24Z","employer_posted_date":"2026-03-10","last_verified_at":"2026-11-01T03:16:22Z","board_verified":true,"closed_at":null,"days_open":236,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":235},"description":"At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.\nSummary\nThis is a Senior MTS position reporting directly to the Head of Safety and Certification. The Safety Systems Engineer-Robot Stability will own the design, implement, and optimize control systems that enable robust balance, posture maintenance, and dynamic locomotion in humanoid robots.\nThis role sits at the intersection of AI, functional safety, and robotics - responsible for ensuring that the robot's AI-driven perception, planning, and control behaviors meet the requirements of the broader humanoid robot safety standard ecosystem. You will assess risks introduced by dynamic robot behaviors, define robot safety requirements for stability, lead verification through data collection and analysis, and build the evidence packages needed for formal certification. The role requires a technical executor with a bias for action, impeccable rigor, and the ability to drive cross-disciplinary teams. The candidate must demonstrate deep technical credibility.\nKey Responsibilities\nDevelop safety requirements for Robot Stability through analysis, empirical derivation, and testing\n\nDerive requirements for performance and stability of advanced control algorithms for whole-body stability, balance, and posture regulation in humanoid platforms\n\nArchitect fail-safe methodology for robot stability to influence design and implementation of real-time controllers (e.g., ZMP, MPC, inverse dynamics, whole-body control)\n\nDefine requirements, performance and fail-safe methods for sensor feedback (IMU, force/torque, vision) for state estimation and disturbance rejection\n\nInvent novel and improve existing techniques for robustness against external perturbations, uneven terrain, and dynamic interactions\n\nCollaborate with perception, planning, and hardware teams to ensure seamless system integration\n\nSimulate, test, and validate control strategies in both virtual environments and physical robots\n\nContribute to safety-critical features, including fall prevention and recovery strategies\n\nRequired Qualifications\nMS or PhD in Robotics, Control Systems, Mechanical Engineering, or related field\n\nStrong background in dynamics, kinematics, and control theory\n\nExperience with humanoid or legged robot control systems\n\nProficiency in Python for data analysis\n\nHands-on experience with simulation tools (e.g., MuJoCo, Gazebo, Isaac Sim)\n\nFamiliarity with state estimation techniques (e.g., Kalman filters, sensor fusion)\n\nHands-on experience with data collection and data analysis in Verification and Validation\n\nPreferred Qualifications\nExperience with whole-body control frameworks and optimization-based control (QP, MPC)\n\nKnowledge of contact dynamics and multi-body systems\n\nHands-on experience with dFMEA, STPA, Fault Tree Analysis\n\nExperience with reinforcement learning applied to locomotion or balance\n\nProficiency in C with language extensions for MISRA C for real-time systems\n\nExperience with applying ISO/TS 15066 and ISO/TS 25785-1\n\nBackground in safety-critical or functional safety systems (e.g., ISO 26262, IEC 61508)\n\nExperience deploying algorithms on embedded or edge compute platforms","description_format":"text","description_chars":3745,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Robotics","Humanoid Robots"],"lifecycle":[{"event":"open","at":"2026-09-10T22:05:03Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 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