Senior Software Safety Engineer – Autonomous Vehicles

Job not on LinkedIn

🔥 13 hours ago

🏄 California, Michigan – Remote

🏄 California – Remote 🚗 Michigan – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 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