Job Description
To help facilitate administration of the relocation stiped if you are selected, please apply using the permanent address you would move from.
Work Arrangement:
Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team.
Locations:
Sunnyvale, California
Mountain View, California
Warren, Michigan
Milford, Michigan
About the Role:
As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You’ll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments.
What You’ll Do:
Develop, test, and deploy production-ready code across components of vehicle platform software.
Quickly ramp up on assigned codebase, product area, and/or system.
Complete assigned tasks efficiently with few iterations.
Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases.
Participate in code reviews, technical discussions, and design resign.
Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration.
Communicate effectively across multiple stakeholders.
Required Qualifications:
Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors or Masters degree in computer science or a related field.
Experience with modern object-oriented programming languages (e.g., Java, C++, Python) preferably in a production or applied project environment.
Able to work fulltime, 40 hours per week.
Preferred Qualifications:
Previous experience with software development through internships, class projects, personal projects, or coding competitions.
Experience developing and testing software through internships, coursework, or personal projects.
Familiarity with Linux/POSIX environments and exposure to embedded systems or robotics projects.
Understanding of networking fundamentals relevant to embedded or distributed systems.
Experience with robotics frameworks (e.g., ROS), embedded Linux platforms, or common sensors (e.g., cameras, lidar, radar, IMUs) is a plus.
Interest or coursework related to safety-critical or high-reliability systems (automotive, aerospace, medical) is beneficial.
Passion for self-driving technology and its potential impact on the world.
Intent to return to degree-program after the completion of the internship.
Graduating between December 2026 and August 2027.
Compensation:
The monthly salary range for this role is $7,300 – $9,200 per month
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
What you’ll get from us (Benefits):
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers
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.
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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