Engineering Manager - Autonomy Evaluation
At a glance
AI generatedTL;DR
As an Engineering Manager at General Motors, you will lead the Evaluation team responsible for developing and scaling autonomous driving technology evaluation systems. Your role involves setting technical direction, designing analysis algorithms, and overseeing the development of metrics and workflows that enable data-driven decisions across GM’s AV development and verification processes. You will work closely with cross-functional teams to ensure clear communication and alignment on evaluation strategies, while also leveraging emerging AI techniques to enhance autonomy performance validation. The ideal candidate has over 8 years of experience in robotics or autonomous systems software, including leadership roles, and strong proficiency in Python, Pandas, NumPy, and data visualization libraries for large-scale analysis. This position requires a deep understanding of dynamic system evaluation using numerical and ML approaches, as well as the ability to interpret results from simulation and field experiments.
Skills
What you'll do
- Lead and coach a team building autonomy evaluation platforms, metrics, and analysis tooling.
- Set technical direction for systems that assess autonomous driving software performance across interfaces.
- Develop new statistical and machine learning methods to quantify and analyze AV performance.
- Ensure the delivery of clear dashboards and interactive reports for trend analysis and leadership insight.
- Partner with cross-functional teams to define requirements and align evaluation strategy with product needs.
- Maintain high technical standards through rigorous system design, code review, testing, and observability practices.
What we're looking for
- 8+ years of experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics.
- Proven technical leadership and hands-on expertise with Python, Pandas, NumPy, SciPy, and data visualization libraries.
- Strong proficiency in C++ codebases for reading, debugging, and instrumenting core algorithms.
- Experience evaluating dynamic systems using numerical and/or machine learning approaches, including time-series data analysis.
- Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Engineering, Machine Learning, Data Science, or related field.
Employer
About General Motors (GM)
General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.
General Motors (GM) currently has 106 open roles on FindRole.
Listed pay typically runs $170,000–$261,300 across 59 roles with salary data.
Most-posted roles
- Senior AI/ML Engineer, AV Pipelines & Lineage 2
- AI/ML Staff Researcher 1
- Applied ML Validation Manager 1
- Controller Integration Engineer (VMEC) 1
- Controller Integration Manager 1