NVIDIA
Senior Software Safety Engineer, Physical AI
$224K–$356K
US, MI, Remote +1 · Senior · Full-time · Posted Oct 14, 2026
- Location
- US, MI, Remote
US, CA, Santa Clara - Experience
- 12+ years in Artificial Intelligence and software safety-related processes, methodologies, and tools.
- Education
- BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
About the job
Ensures the safety of AI-based autonomous software across NVIDIA’s Physical AI platforms, supporting development, verification, and safety certification.
What you'll do
- Guide teams in specifying, implementing, and verifying safety requirements across the software stack, including AI technologies and end-to-end models.
- Conduct system and architectural safety analyses and help integrate AI safety principles into product life-cycle processes.
- Support customer and standards engagement, and present safety evidence to certification bodies, assessors, and regulators.
What they ask for
- 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 processes, identifying gaps, and producing safety plans, analyses, safety-case documentation, and certification evidence.
Nice to have
- Background in safety standards such as ISO 26262 and ISO 21448, and system safety methods such as HARA, FMEA, FTA, and STPA.
- Hands-on experience with autonomous systems and AI-based engineering projects using the V-Model.
Pay
224,000 USD - 356,500 USD base salary
Tools
FTA, DFA, CCF, FMEA, HARA, STPA, V-Model
AI focus
Applies AI safety methods to autonomous systems and end-to-end models, including adaptability testing, uncertainty evaluation, and out-of-distribution detection.
Model-written summary · the original posting is authoritative