8+ years of experience in safety assurance for safety-critical software systems
Bachelor's degree in Systems Engineering, Computer Engineering, Electrical Engineering, Computer Science, Robotics, or related field; Master's preferred
Deep knowledge of IEC 61508-3, ISO/IEC TS 22440, and related safety standards
Hands-on experience with safety analyses like FMEA, FTA, and verification evidence review
Familiarity with AI/ML safety standards and practices
Experience with requirements traceability tools and software development processes
Ability to make risk-based engineering decisions across functions
Responsibilities
Collaborate on system-level risk assessments and allocate risk reduction measures
Analyze and define software safety architecture and its components
Lead software safety analyses and ensure compliance with safety standards
Specify safety-related software behavior and review designs against IEC requirements
Define and assess the software safety plan and lifecycle
Review verification evidence for adequacy against safety claims
Apply AI safety lifecycle principles to AI/ML functions and assess safety evidence
Benefits
Direct hire opportunity with no agency solicitations
Work in a cutting-edge field of humanoid robotics
Collaborative environment with cross-functional teams
Opportunity to influence safety standards in AI and robotics
Engagement in complex electromechanical product development
Full Job Description
JOB SUMMARY
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.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
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 requirements
Analyze 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 handling
Lead software safety analyses, including software FMEA, fault tree analysis, dependent/common-cause failure analysis, and timing and resource analysis
Specify 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 / SC
Define 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 middleware
Assess 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 claims
Apply 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 them
Assess AI/ML safety evidence against the AI safety lifecycle, including data and model assurance, performance limitations, and operational design domain
Own software requirements traceability and the software portion of the safety case, including gap assessments against standards
Support product safety and compliance teams in certification and demonstration of standards conformity
SKILLS AND REQUIREMENTS
Demonstrated experience analyzing and assuring safety-critical software architectures, including software safety analyses and safety case development
Practical 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 relevant
Strong knowledge of embedded software architectures, including RTOS, mixed-criticality partitioning, watchdogs, communication buses, and diagnostics
Hands-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 coverage
Working knowledge of safety for AI/ML-enabled systems, such as ISO/IEC TS 22440; familiarity with ISO/PAS 8800, UL 4600, or SOTIF preferred
Experience with requirements and traceability tools such as JAMA; familiarity with Git, CI/CD, and static analysis; certification or third-party assessment experience preferred
Ability to work cross-functionally and make sound, risk-based engineering decisions
Experience with common Product Development Processes / Product Lifecycle management including Agile, CMMI, Waterfall, etc. helping teams to deliver to organizational milestones.
EDUCATION and/or EXPERIENCE
Bachelor's Degree in Systems Engineering, Computer Engineering, Electrical Engineering, Computer Science, Robotics, or a related field (or equivalent experience); Master's preferred
8+ years of relevant engineering experience, including substantial responsibility for safety assurance or analysis of safety-critical software in complex electromechanical products
PHYSICAL REQUIREMENTS:
Prolonged periods of sitting at a desk and working on a computer
Must be able to lift 15 pounds at times
Vision to read printed materials and a computer screen
Hearing and speech to communicate
The annual salary range is $200,000 - $240,000 base
*This is a direct hire. Please, no outside Agency solicitations.
