Senior Software Safety Engineer – Autonomous Vehicles
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Job Description
Senior Software Safety Engineer advancing NVIDIA’s Halos safety system for autonomous vehicles. Developing and validating safety processes across AI software, embedded platforms, and certification activities.
Responsibilities:
- Ensure the safety of AI-based autonomous system software
- Collaborate with engineers across the DRIVE platform and related research units on automotive functional safety and safety of intended functionality
- Collaborate with teams working on robotics, humanoids, industrial safety, and other safety-critical applications
- Guide teams in specifying, building, implementing, and verifying safety requirements across the software stack, from drivers and acceleration libraries to AI-based technologies and end-to-end models
- Help implement NVIDIA’s Product Life Cycle and integrate AI safety process principles
- Engage with customers and participate in international standardization activities related to AI safety
- Support system safety activities, including decomposition of safety requirements, system and component-level build analysis, and architectural safety analysis across hardware and software boundaries
- Collaborate with external certification bodies, assessors, and regulators
- Present, defend, and justify safety arguments and evidence for safety certification reviews
Requirements:
- BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience
- 12+ years of experience in Artificial Intelligence and software safety-related processes, methodologies, and tools
- Experience in AI safety methods and tools, including adaptability testing, uncertainty evaluation, and out-of-distribution detection
- Familiarity with system software development and embedded platforms
- Strong written and verbal communication skills
- Experience reviewing existing processes, identifying gaps, and suggesting improvements
- Experience producing safety plans, safety analysis reports, safety case documentation, and evidence packets for safety certification and audit activities
- Strong background in safety standards, including ISO PAS 8800, ISO/IEC TR 5469, ISO 21448, ISO 26262, and IEC 61508
- Background in system safety methodologies and practices, including HARA, FMEA, FTA, and STPA
- Hands-on experience with systems engineering methodologies, requirements management, peer review processes, configuration management, agile development, risk management, requirements verification and traceability, validation and verification, and architectural decomposition
- Hands-on experience in autonomous systems
- Experience applying the V-Model to sophisticated AI-based engineering projects, ideally across all stages of the software development life cycle
Benefits:
- Equity
- Benefits
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