Entry Level Developer - Simulation Platform (Galileo)
Role details
Job location
Tech stack
Job description
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., * 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
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
What Will Give You a Competitive Edge
- 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
Benefits & conditions
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The salary range for this role is $99,400 and $153,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance., * GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.