Staff Systems Engineer, Platform Systems

Nuro Inc.
United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$160,360.0
Working hours
Regular working hours
Job source

Tech stack

Systems Engineering C++ (Programming Language) Code Coverage Python (Programming Language) MATLAB Robotic Automation Software Verification and Validation (Software) Test Data Strategies of Testing

Job description

  • Recommend operating constraints for current and future ODDs on different vehicle platforms - for example trajectory constraints for a given virtual driver, or sensor performance envelopes.
  • Define and quantify test coverage for your area, including the realism and relevance of proposed tests across simulation, SIL/HIL, closed course, and on-road.
  • Partner with software teams to define interfaces, performance metrics, failure modes, and validation strategies; validate platform modules against ground truth where applicable.
  • Collaborate with hardware and EE teams and external vendors on component selection, characterization, and integration; review and recommend changes to supplier requirements and test plans.
  • Support V&V by reviewing and suggesting additional tests and implementing test cases in SIL/HIL environments.
  • Analyze and interpret test data from simulation, HIL/SIL, and on-road testing to confirm requirements are met, and perform root cause analysis for complex cross-functional issues found during integration and testing, driving them to resolution.

Requirements

  • Deep understanding of how robotic systems work and ability to leverage this knowledge to plan for verification and validation.
  • 3+ years of experience in one of the platform areas - autonomy sensors, AV compute, motion control, pose/localization, or end-to-end latency.
  • Experience testing in HIL environments or on road testing.
  • Hands on experience in systems engineering.
  • Ability to read code in C++ and write code in Python / MATLAB.
  • Strong communication skills - both verbal and written.

Bonus Points

  • AV or ADAS background.
  • Familiarity with other safety standards such as STPA, ISO-21448

Benefits & conditions

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 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.

About the company

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 Work

  • Lead system-level requirements definition, architecture design, integration strategy, and validation in one of the platform areas - autonomy sensors, AV compute, motion control, pose/localization, or end-to-end latency.
  • Characterize and quantify system performance for that area: define nominal targets, minimum performance, and acceptance criteria across all ODDs, and defend those numbers with data rather than convention.

Apply for this position

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