Applied AI Researcher, Agent Systems and Evaluation at Nuro (Mountain View)
Job Description
Nuro is building a team that works like a start-up inside the company to let AI agents work autonomously inside Nuro’s own engineering organisation, held to the same standard of proof it uses for its self-driving vehicles. This applied AI researcher focuses on agent systems and, above all, rigorous closed-loop evaluation of AI work, so that agents can be trusted to run unattended.
At a glance
- Team: Agent systems and evaluation
- Location: Mountain View, California (headquarters)
- Pay: From $193,930 a year base, as listed
- Apply: open until filled (re-checked 14 October 2026)
What you would do
- Build evaluation and verification systems that decide whether AI agents’ output can be trusted
- Develop agent systems that work autonomously in engineering workflows
- Design closed-loop measurements that gate agent work on evidence
- Help multiply the output of Nuro’s engineers and researchers
Why this role matters
The team’s view is that frontier models are interchangeable, but the ability to measure whether AI work is correct is not. Applying a self-driving company’s safety discipline to AI agents is an unusual angle, and evaluation skills are becoming some of the most valued in applied AI.
What Nuro is looking for
- Experience building or evaluating LLM-based agents
- Strong research and engineering skills
- A rigorous, evidence-driven approach to measurement
Nice to have
- Experience with code agents or software-engineering automation
Pay and location
Nuro’s posting gives a base salary range starting at $193,930 a year, plus equity and benefits.
How to apply
Apply through the official Nuro job posting. Nuro’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 14 October 2026. Check the posting for location and work-authorisation details before you apply.
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How to prepare for this application
- Evaluation first: show how you measured whether an agent's work was right.
- Agents in practice: agents you deployed in real workflows help.
- Rigour: the team values evidence over impressions.
- Start-up style: expect broad ownership.
About Nuro
Nuro, founded in 2016, develops Level 4 self-driving technology that it licenses to carmakers and fleets, and has spent years running driverless vehicles on public roads.
