Senior Software Safety Engineer – Autonomous Vehicles

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Ensure the security of AI-driven autonomous system software.

• Collaborate with engineers throughout the DRIVE platform and associated research units on automotive functional safety and the safety of intended functionality.

• Work alongside teams focused on robotics, humanoids, industrial safety, and other applications that are critical to safety.

• Guide teams in defining, constructing, implementing, and validating safety requirements throughout the software stack, from drivers and acceleration libraries to AI-driven technologies and end-to-end models.

• Assist in executing NVIDIA’s Product Life Cycle and integrating principles of AI safety processes.

• Engage with clients and take part in global standardization initiatives related to AI safety.

• Support system safety initiatives, including the breakdown of safety requirements, system and component-level build analysis, and architectural safety assessments across both hardware and software domains.

• Collaborate with external certification organizations, assessors, and regulatory bodies.

• Present, defend, and substantiate safety arguments and evidence for safety certification evaluations.

⛳️ Requirements

• BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline, or equivalent professional experience.

• 12+ years of experience in Artificial Intelligence and software safety processes, methodologies, and tools.

• Proficiency in AI safety methods and tools, including adaptability testing, uncertainty assessment, and out-of-distribution detection.

• Knowledge of system software development and embedded platforms.

• Excellent written and verbal communication abilities.

• Experience in evaluating existing processes, identifying deficiencies, and recommending enhancements.

• Proven experience in creating safety plans, safety analysis reports, safety case documentation, and evidence packets for safety certification and audit processes.

• Strong understanding of safety standards, including ISO PAS 8800, ISO/IEC TR 5469, ISO 21448, ISO 26262, and IEC 61508.

• Background in system safety methodologies and practices, such as HARA, FMEA, FTA, and STPA.

• Practical 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 with autonomous systems.

• Experience applying the V-Model to complex AI-driven engineering projects, ideally throughout all phases of the software development life cycle.

🏝️ Benefits

• Equity

• Benefits