Sr. Software Systems Safety Engineer

Job description

Job responsibilities

• 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,…
• 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…
• 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…
• Assess AI/ML safety evidence against the AI safety lifecycle, including data and model assurance, performance limitations, and operational design domain

Job 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…
• 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.