Senior Autonomy Evaluation Engineer (Remote)

General Motors; Carson City (NV); Remote; USD 140,000 - 180,000; Full time

Job summary

General Motors seeks an experienced autonomy evaluation engineer to build and scale evaluation platforms for GM's hands-free driving technology. You will develop metrics, dashboards, and analyses across simulations and on-road data, collaborating with autonomy, simulation, systems, and safety teams.

The role demands strong Python, data analysis, and ML evaluation skills, with experience in C++, ROS, and large-scale data pipelines, delivering end-to-end features in production.

Qualifications

• 5+ years of applied experience with robotics or autonomous systems software.
• 3+ years evaluating dynamic systems using numerical and/or ML approaches.
• Strong proficiency developing Python in production environments, including testing, performance, and code review.
• Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries for large-scale data analysis and reporting.
• Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
• A strong curiosity to question anomalous data and systematically root-cause discrepancies.
• Demonstrated technical leadership, including driving architectural decisions and owning complex features end-to-end.
• Bachelor’s, Master’s, or PhD in CS/Robotics/ML/Data Science or equivalent practical experience.

Responsibilities

• Architect and implement metrics and analyses to introspect autonomous driving software performance at interfaces across the autonomy stack; partner with autonomy developers and systems engineers.
• Design and implement analysis algorithms that summarize, aggregate, and cluster metrics from simulations and on-road runs of the autonomy stack.
• Propose and develop new statistical and ML methods to quantify performance and identify patterns across scenes and domains.
• Develop and apply methods to introspect the operation of ML components in the autonomy stack, including evaluation of perception, prediction, and planning models.
• Build and maintain autonomous evaluation dashboards and reports with clear, explainable insights for development, verification, and leadership.
• Leverage VLMs and LLMs to classify autonomy performance and prioritize validation efforts with human-in-the-loop reviews where needed.
• Maintain high technical standards through design, reviews, testing, observability, and best practices.
• Interface with cross-organizational partners to articulate requirements and share evaluation best practices.

Skills

Robotics

Autonomous systems

Data analysis

ML evaluation

Python

Pandas/NumPy/SciPy

C++

Time-series analysis

Leadership

Education

Bachelor’s/Master’s/PhD in CS/Robotics/ML/Data Science

Tools

Python

ROS

SQL

Job description

General Motors seeks an experienced autonomy evaluation engineer to build and scale evaluation platforms for GM's hands-free driving technology. You will develop metrics, dashboards, and analyses across simulations and on-road data, collaborating with autonomy, simulation, systems, and safety teams.

The role demands strong Python, data analysis, and ML evaluation skills, with experience in C++, ROS, and large-scale data pipelines, delivering end-to-end features in production.