Senior Software Systems Engineer, Autonomous Systems Validation Confidence

Company: Gm

Location: Sunnyvale, California, United States of America (Remote)

Salary: $153.2k - $234.1k per year

Type: Full-time

Remote: Yes

Posted: 2026-09-09

About this role

Job Description

## About the role

We are looking for a Senior Software Systems Engineer to develop the methods, software, and quantitative evidence used to measure confidence in autonomous vehicle validation results.

This role sits at the intersection of software engineering, systems engineering, simulation, statistics, and data science. You will help answer questions such as: Do our tests provide sufficient coverage? Are our metrics meaningful? Can simulation results predict real-world performance? How confidently can we detect a regression or support a release decision?

This role is a strong fit for someone who has experience with both programming and physical or cyber-physical systems such as autonomous vehicles, robotics, aerospace, industrial systems, or other complex engineered products.

## What you’ll do

  • Develop scalable frameworks and methods for measuring validation confidence across simulation and real-world testing, including coverage, sampling, metric quality, statistical significance, and regression detection.
  • Build tools and data pipelines for test execution, analysis, metric computation, scorecards, and confidence reporting.
  • Evaluate simulation validity and road predictive power using measurable, defensible criteria; analyze test and vehicle data to identify uncertainty, pipeline issues, regressions, and gaps in evidence.
  • Translate validation claims and release questions into requirements, experiments, test suites, metrics, and quantitative decision criteria.
  • Improve the throughput, repeatability, and quality of validation workflows.
  • Partner with simulation, safety, autonomy, and release teams, and communicate conclusions, assumptions, limitations, and recommendations clearly.

## Required qualifications

  • Strong programming skills in Python, C++, or a comparable language, with experience writing clear, testable, maintainable code.
  • Experience applying engineering or quantitative methods to a physical, cyber-physical, or other ...

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