This role was closed on 2026-09-14. It is kept for reference.
Job statistics for Safety Research Engineer
- Days open
- 55 days
- Expected tenure
- 55 mo
- Cost of vacancy
- $151,440
T
Tensor Auto
Safety Research Engineer
Closed
Focus
Safety-critical
Location
San Jose, CA
Posted
Jul 21, 2026
Source
LinkedIn
Standards
ISO 26262ISO 21448 (SOTIF)UL 4600
Job description
Tensor is an American Physical AI company dedicated to building agentic products that empower people. Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you.
We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.
Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.
Locations
We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.
Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.
Locations
- San Jose, California, US (Salary Range: $75k—$300k USD)
- Barcelona, Catalonia, Spain
- Singapore
- Dubai, UAE
- Conduct research on safety goal, standards, and Safety Performance Metrics (SPI) for Level-4 autonomous driving;
- Identify, collect and analyze statistical data of human driving performance metrics;
- Develop methods for evaluating the safety of autonomous driving;
- Collaborate with cross-functional teams to develop safety system frameworks.
- Master's degree or higher in transportation engineering, statistics, biomedical engineering and mechanics, mechanical engineering, vehicle engineering, physics, etc.;
- Proven experience in analyzing safety with statistics, probability theory or data science;
- Proficient in quantitative analysis and modeling tools, and experience with Python/R/SQL;
- Experience with safety standards including ISO26262, ISO 21448, and UL 4600;
- Strong technical communication skills and teamwork spirit.
- PhD's degree with 5+ years of automotive, transportation, robotics, aerospace or related industry experience;
- Published multiple papers in the field of quantitative risk assessment in safety engineering;
- Experience in the autonomous driving industry.