Position Details
About this role
Lead simulation validation engineering to ensure GM’s autonomous vehicle simulation platforms are reliable and high-fidelity. Build metrics, test suites, and automated regression monitoring, and debug validity measures with deep root-cause analysis.
Key Responsibilities
- Build and maintain simulation fidelity and validity metrics
- Design data ingestion and loading tools for simulation pipelines
- Develop and optimize C++ and Python nodes to extract and aggregate metric outputs at scale
- Create, maintain, and monitor test suites for automated regression detection and deep root-cause analysis
- Document technical designs and interface with cross-org partners on requirements and handoffs
Technical Overview
This role blends production coding (Python and C++) with validation engineering: computing simulation fidelity/validity metrics, building ingestion/loading tools for simulation pipelines, and developing nodes to extract metric outputs at scale. It also requires automated regression detection and rigorous debugging, reporting, and documentation.
Ideal Candidate
The ideal candidate is a senior simulation validation engineer with 3+ years of production Python experience and strong C++ skills. They build and maintain simulation fidelity and validity metrics, create automated regression test suites, and can perform deep root-cause analysis when validation issues arise.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have 3+ years of experience writing Python in a production environment, Must have experience creating automated regression detection with test suites
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