Senior Software Safety Engineer – Autonomous Vehicles

Job Description:

• 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