Senior Software Engineer – Autonomy Evaluation

General Motors; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

General Motors is seeking a senior-level analytics engineer to advance evaluation platforms for autonomous driving. You will architect metrics, analyze simulation and on-road data, and drive end-to-end evaluation workflows across perception, prediction, and planning components.

You will apply ML and statistical methods to identify patterns, build dashboards, and share actionable insights with cross-functional teams, leadership, and external partners.

Qualifications

• 5+ years of robotics or autonomous systems software experience (sensors, perception, planning, etc.).
• 3+ years evaluating dynamic systems using numerical/ML approaches (time-series, derivatives, subsystems).
• Strong Python in production environments (testing, performance, code review).
• Proficiency with Pandas, NumPy, SciPy and plotting/visualization for large-scale data analysis.
• Comfort working with C++ codebases, including debugging and instrumentation of core algorithms.
• Experience with data-driven anomaly detection and root cause analysis.
• Demonstrated technical leadership and end-to-end feature ownership.

Responsibilities

• Architect and implement metrics to introspect autonomous driving performance across the autonomy stack.
• Design analysis algorithms to summarize and cluster metrics from simulations and on-road runs.
• Develop statistical/ML methods to quantify performance across scenes and domains.
• Evaluate ML components in perception, prediction, and planning modules.
• Build and maintain autonomy evaluation dashboards and reports for teams and leadership.
• Leverage VLMs/LLMs to classify performance and prioritize validation efforts.
• Maintain high technical standards with reviews, testing, and observability.

Skills

Python

Pandas

NumPy

SciPy

C++

ML evaluation

Time-series analysis

Data visualization

Leadership

Robotics

Education

Bachelor's/Master's/PhD in CS/Robotics or related field

Tools

ROS

SQL

PyTorch

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.

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 subsystem 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

From day one, we’re looking out for your well-being-at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

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

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.