The short answer: Nuro is an autonomous driving company that licenses its AI driver, the Nuro Driver, to other companies, and it’s launching driverless robotaxis with Uber in the San Francisco Bay Area. Its co-founder and co-CEO, Jiajun Zhu, interviews candidates himself and has published a guide describing the company’s five values: One Team, Act Now, Earn It, Find a Way, and 1% Better Every Day. Prepare technical depth for your role, stories that show those values, an informed view of Nuro’s strategy, and evidence that you use AI in your own work. Below is what Nuro says about itself, the questions to expect, and how to answer them.
Sample answers are illustrations, not quotes from real candidates.
What Nuro says about itself
In “A Candid Guide to Interviewing at Nuro” (April 2026), Zhu writes that “the most exciting thing happening at Nuro is our robotaxi program with Uber,” with plans to grow from one city to several, and that Nuro is also building the Nuro Driver “as a product that can be licensed onto other vehicles.” He describes Nuro as “a physical AI company” and “a leading, independent Level 4 technology licensing company,” not a car maker or ride-hailing app, with the Nuro Driver integrated across about a dozen vehicle platforms.
Two points matter for interviews:
- The hiring bar. “Our hiring bar is extremely high, always has been, since day one,” and the CEO still interviews candidates at a company of nearly a thousand people.
- AI fluency. “We push for AI fluency across every function,” and the company wants people who “naturally reach for AI as a tool to move faster and think bigger.”
Nuro doesn’t publish a step-by-step interview process. Expect it to vary by team; engineering candidates should prepare for coding, system design and deep dives into past projects.
Nuro’s five values, and how to show them
| Value | What Zhu says | A story to prepare |
|---|---|---|
| One Team | “minimal politics”; “no work is below me” | Helping another team succeed, or doing unglamorous work that mattered |
| Act Now | “fast, high-quality execution. Not recklessness” | Delivering quickly without cutting corners on quality or safety |
| Earn It | Trust is earned “through rigor and results,” because the work is safety-critical | A time rigor caught a problem others missed |
| Find a Way | “initiative, creativity,” figuring things out “from first principles” | Solving a problem with no playbook |
| 1% Better Every Day | Small improvements compound | A habit or system you improved steadily, with results |
Use the STAR method for each.
Questions to expect
“Why Nuro?”
Be specific: the technical problem (Zhu calls safe driving at scale “one of the hardest AI problems of our generation”), the licensing strategy, the robotaxi launch, or the scope you’d have at a smaller company. Read the strategy memos Nuro links from the guide on sensors, maps and architecture, and have an opinion.
“Tell me about a technical decision you owned.”
Nuro says employees “can meaningfully own and influence impactful technical decisions.” Pick a decision with real trade-offs, explain the options, your reasoning, the result and what you’d do differently.
“How do you use AI in your work?”
Give a concrete example: the task, the tool, how you checked the output, and the result. See our guide to describing your experience with AI tools.
“Tell me about a time you balanced speed and safety.”
Sample answer: “Our perception team wanted to ship a new pedestrian detection model before a demo. Offline metrics were better, but I found it performed worse at night on our held-out set. I proposed shipping it only for daytime operation, with the old model at night, while we collected more night data. We hit the demo date, and the full rollout followed three weeks later with night recall improved by 8%.”
Technical questions by area
- Software and ML: coding, data structures, ML fundamentals (training, evaluation, data imbalance), and for autonomy roles perception, prediction, planning and simulation.
- Systems and infrastructure: large-scale data pipelines and tooling for training and evaluation. See our system design guide.
- Hardware and robotics: sensors, compute, reliability and safety. See our robotics engineer interview questions.
- Operations and safety: running a fleet safely, incidents, and working with regulators and partners.
Questions to ask
- How will the robotaxi expansion change this team’s work over the next year?
- What does a great first six months look like in this role?
- How does the team decide between the strategy debates Zhu describes, and how are disagreements resolved?
- How is AI used day to day on this team?
See also our Tesla interview questions.
Frequently asked questions
What are Nuro's values?
What does Nuro do?
Does Nuro's CEO interview candidates?
What technical questions does Nuro ask?
How do I prepare for a Nuro interview?
Sources
- Jiajun Zhu, Nuro, A Candid Guide to Interviewing at Nuro (April 2026). Read on 1 October 2026.
