Level

Nuro

Senior Software Engineer, Collision Avoidance

Nuro is hiring a Senior Software Engineer, Collision Avoidance in Mountain View, United States. It pays $194k-$291k a year and Level rates it ; you can apply on Level.

AI in this role

Develop collision avoidance and perception software for Level 4 autonomous driving systems.

c
roboticsmachine-learningcollision-avoidanceautonomous-driving

Who We Are 

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.

Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.

With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

Safety and redundancy is one of the key requirements to Nuro Driver™. In this role, you will contribute to our Parallel Autonomy System and Collision Detection System to protect our passengers and other road participants from the unknown unknowns. Here, you’ll be challenged to provide utmost accuracy while working with exacting latency requirements, where millisecond counts.

About the Work

  • This team tackles a wide range of problems: ML-based perception across all sensor modalities including audio, estimating object velocity and acceleration with high accuracy, onboard latency optimization, and developing tooling for large scale data curation.
  • Partner with a tight-knit group of engineers who focus on collision avoidance.
  • Participate in the design and implementation of a system that spans perception, planning, and control.
  • Contribute to designing the validation methodology in order to validate a system that is required to perform at extremely high recall and precision on exceedingly rare events.

About You

  • BS in relevant engineering fields, such as CS, EE, or applied mathematics.
  • Strong coding skills in C++.
  • Experience deploying software in robotics products.
  • Willingness to sweat the details and strive for precision in your work.
  • Additional preferred experience:
    • Deploying ML models in edge environments. 
    • Developing state estimation algorithms for tracking applications.
    • Optimizing architectures to explore the accuracy vs. compute tradeoff.

 

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930.00 and $291,150.00/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

How we rate this

Senior Software Engineer, Collision Avoidance at Nuro rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RoboticsMachine learningCollision AvoidanceAutonomous DrivingC

Questions you could be asked

  1. Tell me about a project where robotics was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where collision avoidance was part of your work. What did you do?
  4. Tell me about a project where autonomous driving was part of your work. What did you do?
  5. Walk me through how you've used C in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Robotics, Machine learning, Collision Avoidance, Autonomous Driving, and C. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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