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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
4.6 years
Salary
$75,000–$300,000
As stated in the posting.
Technologies used1 tool
Languages

Named in this posting. Hover a tool for what it is; the link finds other roles that use it.

Current safety team1 tracked professional
By function
1 engineering
By level
1 senior
Hiring now
1 open safety role on FSTalent, including this one

Counts of functional safety professionals FSTalent tracks at Tensor Auto and roles it is hiring for. It is a sample of public profiles, not the full headcount.

Safety professionals at this company
  • Ram Raju — AI System Safety Architect
Median tenure at company1.3 years

Median time employees have been at Tensor Auto, from its LinkedIn company page (as of 2026-09).

T
Tensor Auto

Safety Research Engineer

Closed
Focus
Safety-critical
Location
San Jose, CA
Posted
Jul 21, 2026
Source
LinkedIn

By submitting you agree to the privacy policy.

Standards
ISO 26262ISO 21448 (SOTIF)UL 4600

Job description

About the role

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.

Locations

  • Barcelona, Catalonia, Spain
  • Singapore
  • Dubai, UAE

Responsibilities

  • 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.

Qualifications

  • 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.

Preferences

  • PhD's degree with 5+ years of automotive, transportation, , aerospace or related industry experience;
  • Published multiple papers in the field of quantitative risk assessment in safety engineering;
  • Experience in the autonomous driving industry.

Pay and benefits

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.

San Jose, California, US (Salary Range: $75k—$300k USD)