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GM Motorsports is seeking a Motorsports Vehicle Testing & Performance Engineer to drive preparation, execution, and analysis of vehicle testing across trackside, simulated, test-rig, bench, and virtual environments. You will translate engineering data into actionable guidance to improve performance and work with GM teams, mechanics, and partner race teams.
The role focuses on NASCAR-type programs with potential expansion to IMSA/WEC and IndyCar, offering opportunities to influence race-vehicle
At GM Motorsports, we are driven by a clear purpose: to accelerate our teams' ability to win on the racetrack and in the marketplace.
Our vision is to be the benchmark of global motorsports excellence, inspiring enduring passion for our brands and products through world-class performance, innovation, and teamwork.
We are looking for people who share our mindset and core values - ownership in organizational success, a commitment to add value to our team, and the courage to reject mediocrity in pursuit of exceptional results.
GM Motorsports is seeking a Motorsports Vehicle Testing & Performance Engineer to drive the preparation, execution, and analysis of vehicle testing across trackside, simulated, test-rig, bench, and virtual environments.
This experienced individual-contributor role will translate engineering analysis and test data into actionable direction that improves vehicle performance. You will work at the intersection of vehicle testing, simulation, data analysis, and race-team execution, partnering closely with the test team crew chief, project manager, GM engineering organizations, mechanics, and key partner race teams.
The position will initially focus primarily on NASCAR-type racing programs, with potential opportunities to support additional series, including IMSA/WEC and IndyCar. This role offers the opportunity to directly influence race-vehicle performance while working across trackside testing, simulation, and advanced test-rig environments.
Take ownership of engineering preparation for trackside, simulated, test-rig, bench, and virtual testing activities.
Partner with the test team crew chief and project manager to define test objectives, develop test plans and test matrices, and coordinate vehicle and test-event readiness.
Use GM offline simulation tools, driver-in-loop (DiL) simulation, aerodynamic information, and previous test and race data to define test direction and priorities.
Coordinate effectively with engineers, mechanics, and partner teams during time-sensitive testing activities.
Lead vehicle-data analysis using motorsports data-analysis tools such as Pi Toolbox, MoTeC i2, McLaren ATLAS, or equivalent platforms.
Translate test and simulation results into clear conclusions, performance recommendations, and engineering direction.
Work directly with key partner race teams at trackside testing events to deliver timely, data-driven feedback that improves performance.
Drive simulation-correlation activities and evaluate the performance impact of vehicle, setup, or process changes.
Plan and execute engineering activities involving SPMM, kinematic, and center-of-gravity rigs, as well as bench, DiL, and simulation environments.
Collaborate with the GM Vehicle Integration Engineering and Testing team to connect vehicle-level test results with broader development objectives.
Develop or improve analysis tools and workflows that reduce analysis time, improve data quality, or increase test-team effectiveness.
Identify opportunities to improve how GM Vehicle Integration Engineering and Testing delivers performance value to key partner race teams.
Deliver clear, concise, data-driven pre-test, event, and post-test reports that document methods, results, conclusions, and supporting evidence.
Present technical findings and recommendations clearly to GM personnel, partner teams, and other stakeholders.
Build trusted working relationships with engineers, mechanics, crew members, project managers, and external partner teams.
Manage multiple priorities and complete projects to a high standard, on schedule, and in alignment with program resources and priorities.
Enable well-prepared, efficient testing by connecting simulation, historical data, test objectives, and trackside execution.
Turn complex vehicle data into practical recommendations that help partner teams make better performance decisions.
Improve the connection between trackside results, test-rig measurements, virtual environments, and simulation models.
Increase the efficiency, repeatability, and quality of vehicle-test analysis through improved tools and workflows.
Establish credibility as a technically rigorous, responsive, and collaborative engineering partner.