Technical Lead - Autonomous Driving Evaluation Infrastructure
Description
Role Overview: As a Technical Lead of the Galileo team, you will be a senior individual contributor building and optimizing the infrastructure and required technology for all testing and evaluation workflows for both vehicle release and autonomous driving stack validation and verification. This includes building and optimizing data processing pipelines for large scale analysis. Your role will include defining and shaping the technical vision and strategy to ensure alignment with broader company objectives, designing and implementing systems to support AV / ADAS development. You will drive software engineering best practices within the team and develop tools that promote these standards company-wide.
About the Organization: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. Galileo is building the core infra and architecture to support testing at scale. As part of this team, you will build the infra and required tech for test organization, test triggering, test analysis workflows and the related data pipelines.
What You'll Do:
Act as technical architect, help define technical vision and strategy, and ensure the technical direction of your team aligns with broader company objectives.
Design and implement systems capable of supporting simulating millions of miles of driving every day to predict on-road performance
Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
Drive software engineering best practices within your team and develop tools that promote these standards company-wide.
Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting
Help define, build, and embody GM engineering culture and principles
Your Skills & Abilities:
BS, MS, or PhD in Computer Science, Robotics, or equivalent experience
A demonstrated track record of building high quality software and a focus on the customer through operational excellence
Broad exposure to the end-to-end product engineering stack, from frontend to infrastructure
Experience with SOA or microservice-based architectures, large scale distributed systems, and common cloud platforms like AWS/GCP
Strong organizational and communication skills.
Self-motivation and passion to lead, mentor, encourage best practices, and constantly improve
Familiarity with Python, Go, Node, React or other web development framework/languages
PostgreSQL (or similar relational database) and data warehouse technologies like BigQuery or Amazon Redshift.
Passion for self-driving technology and its potential impact on the world
What Will Give You A Competitive Edge:
A background in robotics, ROS, or the AV/ADAS industry
Scientific Analysis experience
Experience with data pipelines/workflows supporting data scientists
Experience building high quality dev productivity tools.
Experience writing modern production C++ applications
Experience developing high-quality software under significant latency and performance constraints
Experience developing or working with safety-critical code
Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
Relocation: This job may be eligible for relocation benefits.
"Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies."
#GM-AV-1
This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
Relocation benefits are available for candidates who qualify under company policy.
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.
Total Rewards | 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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. 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. To learn more, visit How we Hire.
Accommodations
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About the role
This is a Senior Level role in the Technology field (Data, analytics and AI) at General Motors. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.
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Company description (from The Muse): At GM, we pioneer the innovations that move and connect people to what matters. Our vision is a world with zero crashes, zero emissions and zero congestion. Our diverse team of over 165,000 employees brings their collective passion for engineering, technology and design to deliver on this ambitious future. And the bold commitments we’ve made are moving us closer to realizing this vision.
We firmly believe that each of us has the power to drive meaningful change through our words, actions, and culture. At General Motors, we foster a culture where all ideas are taken into consideration, and where everyone can contribute to their fullest potential. Our foundation is built on respect, integrity, accountability, and equality.
size: Large Size; industries: Consumer Goods & Services, Engineering, Manufacturing, Technology; locations on The Muse: Detroit, MI.
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What is the Technical Lead - Simulation Platform (Galileo) job at General Motors?
A senior level role in technology (data, analytics and ai) listed 49 days ago. The full description is on this page and on The Muse.
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Remote / flexible (United States). A remote or flexible location is listed; confirm with the employer which states are accepted.
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It was posted on 2026-09-20 (49 days ago). Jobs older than 90 days are not shown.
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Job data: The Muse public API (listing dated 2026-09-20). The job disappears from this site when it disappears from the source.
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