Senior Software Engineer - Simulation Validation
General Motors Proving Ground
Job Description
Role Overview
As a Senior Software Simulation Validation Engineer, you will be a technical leader responsible for ensuring the quality and reliability of autonomous vehicle simulation platforms. The role bridges hands-on coding, protocol/process definition, integration of metrics, and automated regression monitoring - all foundational to verifying the performance, fidelity, and validity of highly complex simulation systems. This position will follow both collaborative and technical standards with an emphasis on scalable, maintainable, and programmatic approaches.
About the organization
The GM Advanced Driver-Assistance Systems (ADAS) team develops and delivers intelligent, safety, and convenience features to elevate every driver's experience. By integrating state-of-the-art sensing, perception, and control technologies, GM ADAS empowers vehicles with cutting-edge capabilities. Our cross-functional experts collaborate to design scalable, reliable systems that set new standards for automotive innovation and make mobility easier, safer and more convenient for all.
The Sim Validation team at GM ensures our simulation environments accurately mirror real-world driving conditions and sensor interactions. On the one hand, by measuring and monitoring the realism, accuracy, and coverage of our virtual environments and sensor models, Sim Validation enables developers and engineers to validate autonomous and ADAS technologies with greater realism and confidence. On the other hand, our validation methodologies establish a basis of trust in our simulation results and capabilities when reporting to executives and regulatory bodies. Our solutions reduce reliance on physical testing, streamline development, and provide essential insights that guide safer, more robust vehicle systems.
What you and your team will be doing
Build and maintain simulation fidelity and validity metrics, quantifying the gap between simulation and road in novel ways. Construct mechanisms to attribute issues to components of simulation systems.
Design and maintain robust data ingestion and loading tools to support diverse simulation pipelines
Develop and optimize nodes in both C++ and Python to extract and aggregate metric outputs at scale.
Create, maintain,and monitortest suites, enabling automated regression detection.Debug, track, and report onvalidity measures, including deep root-cause analysis. Triage and aid in the prioritization of resolving validation issues.
Contribute documentation in the form oftechnical designs, experiment results and internal publications.
Conduct code reviews and assist teammates in tracking evolving requirements and user workflows.
Interface with cross-org partners to articulate requirements, resolve handoff issues, and share best practices.
Required Skills & Qualifications
3+ years of experience writing Python in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.). Demonstrated experience with C++.
Familiarity with data analysis, e.g. statistics
Familiarity with SQL, ROS, numpy & scipy, and plotting/visualization libraries
Excellent communication skills and ability to work independently, driving technical advances.
BS in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, AerospaceEngineering or similar experience.
Bonus points
Experience building algorithms central to data analysis of engineering domains
Experience developing software solutions that are used across engineering teams
Experience with computational geometry, linear algebra, or Machine Learning
Experience with time-series data analysis and online performance monitoring tools
Experience in simulation/test engineering or automotive autonomy platforms
Experience automating pipelines, maintaining and troubleshooting test protocols.
Familiarity with some of Google Cloud, BigQuery, containerized builds, large-scale continuous integration/monitoringorPython/C++ interoperability
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Benefits Overview
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Non-Discrimination and Equal Employment Opportunities (U.S.)
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
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