Autonomy Evaluation & Analytics Engineer

General Motors; Sunnyvale (CA); Hybrid; USD 145,000 - 221,000; Full time

Job summary

General Motors, a global leader in advanced driver assistance and autonomous driving technologies, seeks a senior evaluator to build metrics, analysis pipelines, and dashboards across the autonomy stack. You will work with perception, prediction, and planning teams to quantify performance and guide validation and release decisions.

The role emphasizes collaboration, scalable analytics, and practical deployment considerations for GM’s autonomous driving program in a hybrid/remote setting within

Qualifications

• 5+ years of robotics or autonomous systems software experience.
• 3+ years evaluating dynamic systems using numerical and/or ML approaches.
• Strong proficiency developing Python in production environments.
• Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries.
• Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
• A strong curiosity to question anomalous data and root-cause discrepancies.
• Demonstrated technical leadership, including driving architectural decisions and ownership of complex features.
• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or related field, or equivalent 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.
• Propose and develop new statistical and ML methods to quantify performance and identify patterns across scenes and domains.
• Develop and apply methods to introspect ML components in the autonomy stack, including evaluation of perception, prediction, and planning models.
• Build and maintain autonomous evaluation dashboards and interactive reports with trend analysis and drift detection.
• Leverage VLMs and LLMs to classify autonomy performance and prioritize validation efforts, with human-in-the-loop when needed.
• Maintain a high technical standard through design, code reviews, testing, observability, and best practices in software engineering.
• Interface with cross-organizational partners to articulate requirements and share best practices around evaluation and experiment design.

Skills

Robotics software

Python

C++

ML evaluation

Data analysis

Pandas

NumPy

ROS

SQL

Leadership

Education

CS/Engineering degree

Tools

ROS

PyTorch

Time-series analysis

Job description

General Motors, a global leader in advanced driver assistance and autonomous driving technologies, seeks a senior evaluator to build metrics, analysis pipelines, and dashboards across the autonomy stack. You will work with perception, prediction, and planning teams to quantify performance and guide validation and release decisions.

The role emphasizes collaboration, scalable analytics, and practical deployment considerations for GM’s autonomous driving program in a hybrid/remote setting within