Senior Software Safety Engineer, Physical AI
$224k - $357k • Remote • US, MI, Remote
Posted 5d ago
Job Location
US, MI, Remote
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
NVIDIA Halos is seeking a Senior Software Safety Engineer to join their team, focusing on the full-stack, comprehensive safety system for Physical AI. This role involves ensuring the safe development and deployment of autonomous machines, AI models, chips, software, tools, and services. You will collaborate with diverse engineering teams across NVIDIA, including those working on autonomous vehicles, robotics, and other safety-critical applications. The position requires guiding teams in specifying, building, implementing, and verifying safety requirements across the software stack, from drivers to end-to-end AI models, and integrating AI safety principles into the Product Life Cycle. Additionally, you will engage in customer interactions and international standardization activities related to AI safety, and support system safety activities like decomposition of safety requirements and architectural safety analysis.
Responsibilities
- Ensure the safety of AI-based autonomous system software.
- Collaborate with diverse engineering teams across the DRIVE platform and related research units, including functional safety and safety of the intended functionality groups.
- Work with teams dedicated to robotics, humanoids, industry safety, and other safety-critical applications.
- Guide teams in specifying, building, implementing, and verifying safety requirements across the software stack, including end-to-end models.
- Assist in implementing NVIDIA's Product Life Cycle to integrate AI safety process principles.
- Engage in customer interaction and international standardization activities related to AI safety.
- Support system safety activities, including decomposition of safety requirements, build analysis (FTA, DFA, CCF, FMEA), and architectural safety analysis.
- Collaborate with external certification bodies, assessors, and regulators, presenting and defending safety arguments and evidence for successful 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 demonstrated experience in Artificial Intelligence and SW safety related processes, methodologies, and tools.
- Experience with AI safety methods and tools such as 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 and identifying gaps for improvement.
- Experience producing safety plans, safety analyses reports, safety case documentation, and evidence packets for safety certification and audit activities.
Benefits
- Equity
- Benefits