General Motors is a global leader in advanced driver assistance. The role involves designing and implementing analysis algorithms for evaluating autonomy performance and developing metrics and dashboards that provide insights into the evaluation of autonomous driving technology.
Responsibilities:
- Design and implement analysis algorithms that summarize, aggregate, and cluster metrics produced by simulations of the autonomy stack
- Build and maintain GM’s primary autonomy evaluation dashboards and reports that provide clear, explainable insights to engineering and leadership, including trend analysis, drift detection, and scenario coverage
- Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate
- Maintain a high technical standard through architectural design, code reviews, and by following software-engineering best practices
- Interface with cross-org partners to articulate requirements, resolve handoff issues, and share best practices