Autonomy Systems Engineer — Platform Validation & V&V Equity

Nuro

Mountain View (CA)

On-site

USD 160,000 - 291,000

Full time

10 days ago
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Benefits offered by this job

Annual bonus
Equity
Benefits package

Job summary

Nuro is seeking a qualified Systems Engineer to lead verification and validation for autonomous driving platform areas such as sensors, compute, and latency. You will shape requirements, architecture, and test strategies across SIL/HIL and on-road contexts.

Candidates should have 3+ years in relevant platform areas, strong systems engineering experience, and the ability to read C++ and write Python/MATLAB. This role emphasizes data-driven decision making and cross-functional collaboration for

Qualifications

  • 3+ years of experience in one of the platform areas — autonomy sensors, AV compute, motion control, pose/localization, or end-to-end latency.
  • Hands-on experience in systems engineering.
  • Ability to read C++ and write Python/MATLAB.

Responsibilities

  • Lead system-level requirements definition, architecture design, integration strategy, and validation for autonomy subsystems.
  • Characterize and quantify system performance with data-backed targets and acceptance criteria.
  • Define test coverage and validation plans across simulation, SIL/HIL, and on-road evaluations.
  • Collaborate with software, hardware, and external vendors on interfaces and verification methods.
  • Analyze test data to confirm requirements and drive root-cause resolution across cross-functional teams.

Skills

C++
Python
MATLAB
Systems engineering

Tools

SIL/HIL

Job description

Nuro is seeking a qualified Systems Engineer to lead verification and validation for autonomous driving platform areas such as sensors, compute, and latency. You will shape requirements, architecture, and test strategies across SIL/HIL and on-road contexts.

Candidates should have 3+ years in relevant platform areas, strong systems engineering experience, and the ability to read C++ and write Python/MATLAB. This role emphasizes data-driven decision making and cross-functional collaboration for

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