Technical Lead - Simulation Platform; Galileo

Job Description

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.

As a Technical Lead within the Validation, Tools, Acceleration (VTA) team under the Simulation, Evaluation, and Data organization, you will be a senior individual contributor building and optimizing the infrastructure and required technology for all testing and evaluation workflows, including 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.

Validation, Tools, Acceleration (VTA) team builds world‑class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles. Our customers range from AV developers who need to understand the effects of their code on vehicle behavior, data engineers who use our data pipelines to build insights for various evaluation needs, to the release team who track top‑line performance metrics on releases.

VTA aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. VTA is building the core infra and architecture to support testing  part of this team, you will build the infra and required tech for test organization, test triggering, and test analysis workflows and the related data pipelines.

• 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.

• BS, MS, or PhD in Computer Science, Robotics, or equivalent experience.
• A demonstrated track record of building high‑quality dev productivity tools and a focus on 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, 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 Big Query or Amazon Redshift.
• Passion for self‑driving technology and its potential impact on the world.

• A background in robotics, ROS, or the AV/ADAS industry.
• Scientific analysis experience.
• Experience building and managing engineering teams.
• 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.

• The salary range for this role is $186,200 to $285,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus potential:
  An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Relocation:
  This job may be eligible for relocation benefits.

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