Entry Level Developer - Simulation Platform (Galileo)

GM•Sunnyvale, CA

About The Position

As a Software Engineer on the Galileo team, you will help build and improve the infrastructure and technology that powers testing and evaluation workflows for vehicle release and autonomous driving stack validation and verification. This includes contributing to data processing pipelines and internal tools used for large-scale analysis. In this role, you will work closely with experienced engineers to design, build, test, and maintain systems that support AV / ADAS development while growing your technical skills in distributed systems, data workflows, and developer tooling. The GM AV Simulation team builds world-class testing and analysis products and technologies to help accelerate development of autonomous vehicles and broader vehicle software systems. Our customers range from AV developers understanding the effects of their code on vehicle behavior, to data engineers using our pipelines for evaluation insights, to release teams tracking top-line performance metrics. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that help move GM toward a driverless future. Galileo is building the core infrastructure and architecture to support testing at scale. As part of this team, you will contribute to infrastructure for test organization, test triggering, test analysis workflows, and related data pipelines.

Requirements

BS or MS in Computer Science, Robotics, Software Engineering, or a related field, or equivalent practical experience
Strong programming fundamentals and experience building software through coursework, internships, research, or personal projects
Familiarity with one or more programming languages such as Python, Go, JavaScript, or C++
Understanding of software development fundamentals such as testing, debugging, version control, and code reviews
Interest in backend systems, data pipelines, or distributed systems
Strong problem-solving, communication, and collaboration skills
Eagerness to learn new technologies and grow in a fast-paced engineering environment
Passion for autonomous driving technology and its potential impact on the world

Nice To Haves

Internship, research, or project experience in robotics, AV / ADAS, simulation, or developer infrastructure
Familiarity with cloud platforms such as AWS or GCP
Exposure to relational databases such as PostgreSQL and analytics platforms such as BigQuery or Redshift
Experience building internal tools, dashboards, or data processing workflows
Familiarity with web technologies such as Node or React
Interest in scientific analysis, large-scale evaluation, or data-driven engineering workflows

Responsibilities

Contribute to the design, development, and maintenance of software systems that support large-scale autonomous driving evaluation workflows
Help build and improve infrastructure used to simulate and analyze large volumes of driving data
Write reliable, maintainable code with support from teammates through code reviews, testing, and continuous integration
Partner with engineers across the stack to develop internal tools and services for test execution, analysis, and reporting
Debug issues, improve performance, and support operational excellence for production systems
Learn and apply software engineering best practices in a collaborative and inclusive team environment
Support GM engineering culture through curiosity, ownership, teamwork, and continuous improvement