Position Details
About this role
Software Engineer focused on Autonomy Evaluation at GM, building and analyzing large-scale evaluation pipelines for autonomous driving systems and delivering dashboards and insights to leadership.
Key Responsibilities
- Design analysis algorithms
- Build GM autonomy dashboards
- Leverage VLMs/LLMs for scenario classification
- Follow software engineering best practices
- Interface with cross-org partners
Technical Overview
Role emphasizes data analysis on large-scale datasets using Python with Pandas/NumPy/SciPy, visualization, and applying VLMs/LLMs to classify autonomy performance; dashboards and cross-org collaboration are key.
Ideal Candidate
The ideal candidate is a data-analytic software engineer with 1+ years of experience applying statistics to autonomy data, proficient with Pandas, NumPy, SciPy, and visualization tools. They can work with vision-language and large language models to classify autonomy performance and contribute to dashboards and leadership-level reporting.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree not in CS/Data Science/Engineering fields, No experience with Pandas/NumPy/SciPy, No exposure to Vision-Language Models or Large Language Models, Inability to work at Sunnyvale location or hybrid setup not feasible
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