Our culture is passionate about building inclusive teams, where differences and unique perspectives are embraced, so you can contribute to your fullest potential as you pursue your career.

The Advanced Driver Assistance Systems (ADAS) team is at the forefront of developing cutting-edge technologies that enhance vehicle safety, performance, and autonomy. We specialize in designing, testing, and deploying intelligent systems that provide critical assistance to drivers, such as adaptive cruise control, lane-keeping assistance, automated braking, and collision avoidance. Our team works on a wide range of systems, integrating data from sensors like lidar, radar, and cameras to create robust, real-time solutions for autonomous navigation and decision-making.

As part of the ADAS team, you will collaborate with experts in machine learning, control systems, sensor fusion, and data science to develop advanced algorithms for vehicle autonomy. We focus on using both model-based and data-driven approaches to optimize the performance of ADAS functionalities, ensuring safety, reliability, and scalability across diverse driving environments. We emphasize real-time control solutions, hardware-in-the-loop (HIL) testing, and simulation to evaluate and refine the effectiveness of our systems.

Our multidisciplinary team fosters a collaborative environment where cutting-edge research is applied to real-world challenges in the automotive sector. We leverage the latest advancements in machine learning, data science, and control theory to push the boundaries of what's possible in autonomous vehicle technologies. By joining our team, you will play a pivotal role in shaping the future of mobility, driving innovation in the transition towards fully autonomous vehicles

What You'll Do:

We are seeking a Software Engineering Intern with a strong focus on data analysis, data engineering, and machine learning (ML) to join our innovative ADAS Software Engineering team. In this role, you will apply data engineering workflows, large-scale data analysis, and data visualization techniques to benchmark and assess the performance of various ADAS features. You will collaborate with cross-functional teams to understand ADAS features, define key metrics, and create dashboards that monitor their usage, performance, and failure modes, providing valuable insights to guide product development. The ideal candidate is currently pursuing a BS or MS in Computer Science, Data Engineering, Data Science, or a related field, and is passionate about using their expertise to derive insights from large-scale data.

Key Responsibilities:

• Collaborate with Feature development and Product teams to understand the workflows of existing and upcoming ADAS features
• Work closely with teams in ADAS Engineering, Product, Data Engineering, and Data Science to define relevant metrics, analyze data on usage, performance, and failure modes, and establish dashboards and workflows for monitoring
• Develop problem statements and prototype solutions based on product requirements, iterating and refining designs based on stakeholder feedback
• Communicate analysis, status updates, results, and actionable recommendations effectively to both engineering and product teams
• Document methodologies, experimental results, and key insights to support knowledge sharing and collaboration within the team

Additional Description

Required Qualifications:

• Currently pursuing a BS or MS in Computer Science, Data Engineering, Data Science, or a related field
• Must be graduating between December 2025 and December 2027
• Able to work fulltime, 40 hours per week during the summer months

What will give you a Competitive Edge (Preferred Qualifications):

• Proficiency in programming languages such as Python, C++, or MATLAB, with experience using data science and machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Practical experience in exploring high-volume, high-dimensionality data from varying sources using SQL, PySpark, Pandas
• Practical experience in analytical tools and languages for statistical analysis and machine learning (e.g., Sci-Kit Learn, Spark)
• Practical experience in cloud-based data science platforms (e.g., Databricks, Azure)
• Practical experience in data management and processing using platforms like Postgres or Databricks
• Practical experience in data visualization tools such as Kibana, Power BI, or Looker
• A passion for improving tooling and workflows for increased efficiency, and a proactive approach to evaluating and adopting new tools and frameworks.
• A highly collaborative mindset, with the ability to work effectively in ambiguous situations and a commitment to continuous learning
• Strong written and verbal communication skills, with the ability to document findings, create visualizations, and present results to both technical and non-technical stakeholders

Start dates for this internship role are May & June of 2025.

Compensation:

• The monthly salary range for this role is $4,400-$6,800, dependent upon class status and degree

• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2025 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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards | 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.

Diversity Information

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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Accommodations (U.S. and Canada)

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.