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Autonomous Vehicles, Robotics, AI, Logistics, Last-mile Delivery

Senior/Staff Software Engineer, Applied Controls

Mountain ViewOnsiteFull TimeSeniorPosted 25 days ago

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Required skills

  • Controls Engineer
  • vehicle integration
  • ISO 26262
  • Nuro Driver™
  • vehicle bring up
  • controls tuning
  • vehicle performance
  • quality
  • drivability
  • mechanical

Nice to have

  • high-fidelity vehicle dynamics models
  • ML controllers
  • Powertrain controls
  • chassis controls
  • Functional safety

Role summary

Nuro is seeking a Senior Controls Engineer for Vehicle Integration to develop and implement production-grade control software for autonomous vehicles. This role involves collaborating with OEM and internal teams to define requirements, adapt the controls software stack, and perform hands-on vehicle bring-up, tuning, testing, and debugging. The ideal candidate has an MS in a related field, 3+ years of experience with L2+ automated driving controls, strong vehicle dynamics and controls fundamentals, and embedded C/C++ programming skills. Experience with L4 systems, ML controllers, powertrain/chassis controls, and functional safety is a plus.

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 RoleThe Controls team at Nuro is responsible for safely and smoothly executing Autonomy generated plans, across vehicle platforms and ODDs. We are looking for an experienced Controls Engineer to join us in this impactful role, where you will collaborate with best-in-class engineers to tackle challenging problems and help advance the future of robotics to improve everyday lives.

About the Work

  • Develop robust, production-grade control software following safety standards (ISO 26262).
  • Collaborate closely with OEM engineers and other Nuro teams to define vehicle and controls SW requirements for integrating Nuro Driver™ into new vehicle platforms.
  • Adapt Controls software stack to new vehicle platforms.
  • Conduct hands-on vehicle bring up, controls tuning, testing, and debugging for achieving vehicle performance, quality and drivability targets.
  • About You

  • MS in mechanical, mechatronics, electrical, aerospace, robotics, or closely related fields with focus on Controls.
  • 3+ years of experience in development of L2 or higher level automated driving controls software and integration with vehicle platform(s).
  • Strong fundamentals in vehicle dynamics and controls, including theory, application, and validation.
  • Experience implementing classical and modern controls methods.
  • Strong embedded C/C++ programming skills.
  • Significant hands-on controls development for L2+ or higher level Automated Driving systems.
  • Passionate about solving real-world challenging autonomous driving problems.
  • Fast to learn and adapt to new problems.
  • Self-starter and good team player with strong drive and accountability.
  • Proven ability to collaborate within and across teams.
  • Effective oral and written communication skill.
  • Bonus Points

  • L4 automated driving system development experience.
  • Experience developing high-fidelity vehicle dynamics models.
  • Experience building learning based (ML) controllers.
  • Powertrain and/or chassis controls experience.
  • Functional safety experience.
  • 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 and $291,150 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

    Sample Nuro interview questions

    • 1

      Build a service discovery mechanism for distributed systems.

      system designmedium
    • 2

      Maximum Depth of an N-ary Tree Find the maximum depth of an N-ary tree. Input: root = [1,null,2,null,3,null,4] Output: 4 Explanation: The tree is essentially a straight line, requiring a traversal that reaches a maximum depth of 4 layers.

      codingmedium
    • 3

      Merge Overlapping Intervals Merge overlapping intervals in an array. Input: intervals = [[1,4],[4,5]] Output: [[1,5]] Explanation: The intervals touch exactly at the 4 mark, so they are successfully merged into a single continuous interval.

      codingmedium
    • 4

      Lowest Common Ancestor on an N-ary Tree Find the lowest common ancestor on an N-ary tree. Input: root = [1,null,2,3,4], p = 2, q = 3 Output: 1 Explanation: Both nodes 2 and 3 are direct children of the root node 1, making 1 the lowest common ancestor.

      codingmedium
    • 5

      Split Array into Consecutive Subsequences Split an array into consecutive subsequences. Input: nums = [1,2,3,4,4,5] Output: FALSE Explanation: The numbers can form [1,2,3,4], but the remaining leftover group [4,5] is too short to form a valid sequence of length 3.

      codingmedium

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