Senior Autonomy Evaluation Engineer (Remote)

General Motors; Hagåtña (GU); Remote; USD 120,000 - 180,000; Full time

Job summary

General Motors is seeking an experienced autonomous evaluation professional to advance GM’s AV evaluation platforms. You will design metrics, build dashboards, and apply ML methods to quantify performance across the autonomy stack.

You will lead cross-team initiatives, partner with simulation, perception, and planning teams, and contribute to system-level evaluation decisions. Remote/hybrid role in the United States.

Qualifications

• 5+ years of experience with robotics or autonomous systems software.
• Experience evaluating dynamic systems with ML methods.
• Proficient Python in production environments.
• Strong data analysis and visualization skills.
• Experience with ROS or similar robotics frameworks.
• Bachelor’s/Master’s/PhD in a relevant field or equivalent experience.
• Ability to drive architectural decisions and cross-team collaboration.

Responsibilities

• Architect and implement metrics and analyses across the autonomy stack.
• Design analysis algorithms to summarize and cluster metrics from simulations and on-road runs.
• Develop ML-based methods to quantify performance and patterns.
• Build and maintain autonomous evaluation dashboards and reports.
• Leverage vision-language models and LLMs to classify performance and prioritize validation.
• Maintain high technical standards with reviews, tests, and observability.
• Coordinate with cross-organizational partners to align requirements and share best practices.

Skills

Robotics software

Python

C++

ML evaluation

Data analysis

Leadership

Time-series analysis

Education

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

Tools

Pandas

NumPy

SciPy

ROS

SQL

Job description

General Motors is seeking an experienced autonomous evaluation professional to advance GM’s AV evaluation platforms. You will design metrics, build dashboards, and apply ML methods to quantify performance across the autonomy stack.

You will lead cross-team initiatives, partner with simulation, perception, and planning teams, and contribute to system-level evaluation decisions. Remote/hybrid role in the United States.