Autonomous Systems Validation Engineer

generalmotors; Sunnyvale (CA); On-site; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health and wellbeing benefits

GM vehicle discounts

Tuition assistance programs

Job summary

General Motors is seeking a Senior Software Systems Engineer to develop methods, software, and evidence for validating autonomous vehicle results. The role spans software, systems, simulation, statistics, and data science, answering questions about coverage, metrics, and regression detection.

The position requires strong Python/C++ skills and experience applying quantitative methods to real-world systems, with collaboration across disciplines and clear communication of results.

Qualifications

• Strong programming in Python or C++ and ability to write clean, testable code.
• Experience applying quantitative methods to real-world systems.
• Ability to turn ambiguous validation questions into measurable criteria and experiments.
• Ability to collaborate across disciplines and explain results with precision.

Responsibilities

• Develop scalable frameworks and methods for measuring validation confidence across simulation and real-world testing.
• Build data pipelines for test execution, analysis, metrics, and confidence reporting.
• Evaluate simulation validity and road predictive power using measurable criteria and data analysis.
• Translate validation needs into requirements, experiments, and quantitative decision criteria.
• Improve throughput, repeatability, and quality of validation workflows.
• Collaborate with simulation, safety, and release teams and communicate conclusions clearly.

Skills

Python

C++

Quantitative methods

Interdisciplinary collaboration

Education

Bachelor's degree or equivalent in a technical field

Job description

General Motors is seeking a Senior Software Systems Engineer to develop methods, software, and evidence for validating autonomous vehicle results. The role spans software, systems, simulation, statistics, and data science, answering questions about coverage, metrics, and regression detection.

The position requires strong Python/C++ skills and experience applying quantitative methods to real-world systems, with collaboration across disciplines and clear communication of results.