Description
The Role:
Support the Chevrolet IndyCar Program by turning race, telemetry, timing, scoring, and track data into reliable analysis and decision support. The intern will work with Drew Bennison and the Race Strategy & Analytics team to prepare data, test analytical tools, evaluate model outputs, and communicate findings that help improve race-weekend execution.
The Team:
The Motorsports Competition analytics team develops practical tools for race strategy and performance improvement across road courses, street circuits, ovals, and superspeedways. The team partners with race engineers, strategists, Chevrolet teams, Ilmor, GM engineering groups, and data/software specialists to make better decisions throughout testing, race events, and the offseason.
What You’ll Do:
• Assist with collecting, cleaning, organizing, and validating IndyCar race, telemetry, timing, scoring, fuel, tire, and track data.
• Support back-testing, scenario analysis, and basic simulation of race-strategy recommendations.
• Help evaluate model inputs and outputs related to fuel usage, tire performance, cautions, pit cycles, track position, and remaining-race conditions.
• Maintain track configuration data, timing lines, pit segments, logical segments, and related documentation.
• Create clear charts, summaries, dashboards, and technical documentation for engineering and competition stakeholders.
• Support software and data-engineering tasks such as testing workflows, checking APIs or data pipelines, documenting defects, and verifying fixes.
• Participate in race-replay reviews and help compare model recommendations with actual race outcomes.
• Learn and apply disciplined practices for version control, testing, data quality, and communicating analytical assumptions.
Required Qualifications:
- Pursuit of a Bachelor’s degree in one of the following areas:
- Engineering
- Data Science
- Statistics
- Must be graduating between December 2027 and May 2029
- Able to work fulltime, 40 hours per week during the summer months
Preferred Qualifications:
• Experience with Python, SQL, data visualization, or statistical analysis
• Familiarity with Git, APIs, databases, cloud analytics, or software testing
• Coursework or project experience involving simulation, optimization, machine learning, or time-series data
• Interest in motorsports, vehicle performance, race engineering, or other high-performance technical environments
• Strong problem-solving, communication, organization, and technical writing skills
• Ability to work collaboratively while also completing well-defined tasks independently
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the Charlotte Technical Center three times per week, at minimum.
For those eligible, to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th & June 14th of 2027.
About GM
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Why Join Us
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Non-Discrimination and Equal Employment Opportunities (U.S.)
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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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