Source-listed Job

Senior Software Engineer, Collision Avoidance

Who We Are 

Job Source description available
Nuro Source published Oct 6, 2026 Source retrieved Oct 6, 2026
Source: Nuro (greenhouse) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
Description from the source The source description is formatted below for discovery. The provider owns the original wording and may change its requirements or close applications.

Overview

Who We Are 

Full job description

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

Tips for this job

Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.
Original authoritative source

JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Apply through JobOpportunity →

Browse current JobOpportunity listings from Nuro (greenhouse) →

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books