Technical Lead - Simulation Platform (Galileo)

General Motors; Denver (CO); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Relocation benefits

Company vehicle program

Remote-friendly

Job summary

General Motors is seeking a Technical Lead for Autonomous Driving Evaluation Infrastructure. You will define technical vision, architect scalable data pipelines, and drive engineering practices across a senior team.

The role focuses on AV/ADAS validation and high‑volume test workflows, with remote options and relocation support where needed. You will mentor engineers, collaborate across the GM AV Simulation org, and help shape the engineering culture.

Qualifications

• Advanced degree or equivalent experience in CS/robotics or related field.
• Track record of building high-quality software with customer focus.
• Experience with end-to-end product engineering stack from frontend to infra.

Responsibilities

• Act as technical architect and align team with company objectives.
• Design systems to simulate millions of driving miles daily.
• Improve reliability via CI, automated tests, and code reviews.
• Develop and mentor engineers while promoting best practices.

Skills

Software architecture

SOA / microservices

Distributed systems

AWS / GCP

Python

Go

Node.js

React

PostgreSQL

BigQuery

Redshift

CI/CD

Leadership

Education

BS/MS/PhD in Computer Science or Robotics

Tools

Python

Go

Node.js

React

PostgreSQL

BigQuery

Redshift

CI/CD

Job description

Technical Lead – Autonomous Driving Evaluation Infrastructure

Job Description – 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 and Location

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.

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

Relocation: This job may be eligible for relocation benefits.

Company Vehicle

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

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