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Senior Software Safety Engineer, Halos - Autonomous Vehicles
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About this role
Role overview Help establish and demonstrate the safety of software for autonomous vehicles, robotics, and other AI-enabled systems. The role spans the software stack, from drivers and acceleration libraries to AI models, and combines safety engineering with cross-team guidance, customer engagement, and certification work.
Responsibilities - Guide teams in defining, implementing, and verifying software safety requirements across platforms and applications. - Apply AI safety methods, including adaptability testing, uncertainty evaluation, and out-of-distribution detection. - Contribute to product lifecycle processes for AI safety and identify opportunities to improve existing practices. - Perform system safety analysis, including fault tree, failure mode, dependent failure, and common-cause analyses. - Prepare safety plans, analyses, safety cases, and evidence for certification and audits. - Present and defend safety arguments with customers, assessors, certification bodies, regulators, and standards groups.
Requirements - A degree in computer science, computer or electrical engineering, or a related field, or equivalent experience. - At least 12 years of experience with AI and software safety processes, methods, and tools. - Experience using AI safety methods and tools. - Familiarity with system software development and embedded platforms. - Strong written and verbal communication skills, including experience documenting safety evidence and improving processes.
Nice to have - Knowledge of safety standards such as ISO 26262, ISO 21448, IEC 61508, ISO/PAS 8800, or ISO/IEC TR 5469. - Experience with HARA, FMEA, FTA, or STPA, and with requirements management, traceability, risk management, and verification in agile environments. - Autonomous systems experience and experience applying the V-Model across AI software development.
Benefits and work setup The position includes equity and benefits. The stated base salary range is $224,000–$356,500; the offer depends on location and experience.