Senior Software Engineer, Autonomy Evaluation

General Motors; United States; On-site; USD 140,000 - 200,000; Full time

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Job summary

General Motors is advancing autonomous driving evaluation. The Evaluation team builds the ecosystem powering development and scaling of GM’s autonomy tech, with metrics, automated workflows, and analysis that enable data-driven decisions across AV development and verification.

You will shape GM’s core evaluation platforms, translate system-level results into clear feedback for engineers and leadership, and help accelerate validated AV deployment at scale.

Qualifications

• Minimum 5+ years in robotics or autonomous systems software and data analysis.
• Experience evaluating dynamic systems with time-series data and ML approaches.
• Strong Python production experience with testing and code review.
• Proficiency with Pandas/NumPy/SciPy for large-scale data analysis.
• Experience with C++ and ROS is preferred.
• Bachelor’s, Master’s, or PhD in CS/Robotics/Engineering/ML or related field.

Responsibilities

• Architect and implement metrics to introspect autonomous driving software performance across the autonomy stack.
• Design analysis algorithms summarizing metrics from simulations and on-road runs.
• Develop ML methods to quantify performance and identify patterns across scenes.
• Evaluate perception, prediction, and planning models.
• Build and maintain autonomy evaluation dashboards and reports with trend analysis and drift detection.
• Leverage VLMs/LLMs to classify performance and prioritize validation.
• Maintain high technical standards through design, reviews, testing, observability.
• Interface with cross-organizational partners to share requirements and best practices.

Skills

Robotics software

Autonomous systems

Time-series data

Python in production

Pandas

NumPy

SciPy

C++ codebases

ROS

SQL

ML evaluation

Leadership

Bachelor’s degree

Master’s degree

PhD

Education

Bachelor’s degree

Master’s degree

PhD

Tools

Python

Pandas

NumPy

SciPy

C++

ROS

SQL

Job description

Job Description

General Motors is a global leader in advanced driver assistance. With Super Cruise hands‑free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.

Job Description

General Motors is a global leader in advanced driver assistance. With Super Cruise hands‑free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.

About The Organization

The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data‑driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system‑level integrators and arbiters of end‑to‑end AV quality.

We own large‑scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release‑gating components, treating road testing, data mining, training, and metrics as first‑class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system‑level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.

What You’ll Do (Responsibilities)

• Architect and implement metrics and analyses to introspect autonomous driving software performance at interfaces across the autonomy stack; partner closely with autonomy developers and systems engineers.
• Design and implement analysis algorithms that summarize, aggregate, and cluster metrics produced by simulations and on‑road runs of the autonomy stack.
• Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational 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 autonomy evaluation dashboards and interactive reports that provide clear, explainable insights (e.g., trend analysis, drift detection, scenario coverage) for development, verification, and leadership.
• Leverage vision‑language models (VLMs) and large language models (LLMs), where appropriate, to classify autonomy performance, identify critical scenarios, and prioritize validation efforts, integrating human‑in‑the‑loop review where needed.
• Maintain a high technical standard through thoughtful system design, code reviews, testing, observability, and adherence to software‑engineering best practices.
• Interface with cross‑organizational partners to articulate requirements, resolve handoff issues, and share best practices around evaluation, metrics, and experiment design.

Your Skills & Abilities (Required Qualifications)

• 5+ years of applied experience with robotics or autonomous systems software (e.g., sensors, perception, prediction, planning, or control), data analysis, ML evaluation, or autonomy analytics.
• 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time‑series data, state derivatives, dynamics, and interconnected subsystems.
• Strong proficiency developing Python in production team 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, influencing cross‑team designs, and owning complex features or services end‑to‑end.
• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience in autonomous driving or field robotics, including visualizing and interpreting results from simulation and field experiments.
• Experience evaluating robotics or AV systems using sensor data (e.g., camera, lidar, radar) and large‑scale time‑series analysis.
• Strong intuition for data visualization and the ability to decompose high‑dimensional metrics into clear, trustworthy, and consumable views for technical and non‑technical audiences.
• Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation; fluency with Pandas, NumPy, SciPy, and visualization tools.
• Proficiency in C++ and SQL; experience shaping logging, data schemas, and evaluation pipelines for large‑scale autonomy testing and performance monitoring.
• Experience working with ROS or similar robotics/IPC frameworks, log pipelines, and large‑scale experiment databases or evaluation platforms.
• Prior development experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control.
• Background in modeling agent interaction and contributing to release gating and safety decisions for autonomy systems.
• Experience leveraging AI‑assisted development and analytics tools to improve productivity and evaluation coverage.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment.

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