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Motorsport Data Science Jobs (NOW HIRING)

GM Performance Power Units

Damage Modeler

Concord, NC · On-site

$51 - $66.25/hr

... science, structural mechanics, and F1 operational data. The Damage modeler will work within the ... Prior experience in an F1 or top-tier motorsport PU environment. * Master's degree or PhD in ...

GMPPU

Battery Controls Engineer

Concord, NC · On-site

$41.25 - $52.50/hr

Implement sensor data acquisition, hardware abstraction layers, real-time communication, and ... Master's or PhD in Electrical Engineering, Computer Science, Embedded Systems, or related ...

GMPPU

$33.25 - $42.50/hr

Implement sensor data acquisition, hardware abstraction layers, real-time communication, and ... Master's or PhD in Electrical Engineering, Computer Science, Embedded Systems, or related ...

Motion Applied

Systems Engineer - NA

Seattle, WA · Remote

... motorsport. We create solutions that drive efficiency and cost-effectiveness. In the Connected ... Typically, our teams comprise of System Engineers, Data Scientists, Full Stack Software Engineers ...

Exceptional Dental

Systems Engineer - NA

Seattle, WA · On-site

... motorsport. We create solutions that drive efficiency and cost-effectiveness. In the Connected ... Typically, our teams comprise of System Engineers, Data Scientists, Full Stack Software Engineers ...

Motion Applied

Systems Engineer - NA

Seattle, WA

... motorsport. We create solutions that drive efficiency and cost-effectiveness. In the Connected ... Typically, our teams comprise of System Engineers, Data Scientists, Full Stack Software Engineers ...

Exceptional Dental

... motorsport. We create solutions that drive efficiency and cost-effectiveness. In the Connected ... Typically, our teams comprise of System Engineers, Data Scientists, Full Stack Software Engineers ...

Motion Applied

Systems Engineer - NA

Seattle, WA · On-site

... motorsport. We create solutions that drive efficiency and cost-effectiveness. In the Connected ... Typically, our teams comprise of System Engineers, Data Scientists, Full Stack Software Engineers ...

Albedo

Senior Mechanical Engineer

Broomfield, CO

$150K - $171K/yr

... data to guide mechanical adjustments and system-level performance. * You have released real ... scientific instrumentation, robotics, or motorsport rather than space or optics, you are the ...

Motorsport Hackers

... data protection topics Qualifications You'll have... Bachelor's degree in electrical engineering, Computer Engineering, Computer Science, or a related field. or equivalent combination of relevant ...

GMPPU

Chief Engineer - ICE

Concord, NC · On-site

... data analysis. * Manage ICE-related technical partnerships and external suppliers (materials ... Deep understanding of combustion systems, materials science, thermal management, fuel technologies ...

GMPPU

Reliability Group Lead Engineer

Concord, NC · On-site

$93K - $117K/yr

Interpret live and post‑session PU telemetry data to identify emerging reliability concerns ... Bachelor's or Master's degree in Mechanical Engineering, Materials Science, Aerospace Engineering ...

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Motorsport Data Science information

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$196.5K

How much do motorsport data science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for motorsport data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is motorsport data science?

Motorsport data science is the application of data analysis, statistical modeling, and computational techniques to improve performance, strategy, and safety in motorsport competitions. Data scientists in this field work with large volumes of sensor data from race cars, telemetry, weather, and track conditions to inform decisions about car setups, pit stops, tire choices, and driver performance. Their insights help teams gain a competitive edge and adapt to rapidly changing race environments. Motorsport data science requires a blend of engineering knowledge, programming skills, and strong analytical abilities.

What are some common challenges faced by motorsport data scientists when working with race data, and how can they be overcome?

Motorsport Data Scientists often encounter challenges such as managing and analyzing vast amounts of high-frequency telemetry data in real time, ensuring data accuracy under rapidly changing track conditions, and translating insights into actionable strategies for the team. Overcoming these challenges requires strong collaboration with engineers and drivers, robust data validation processes, and the ability to quickly adapt analytical models during race weekends. Building strong communication skills and familiarity with motorsport-specific tools can help data scientists provide timely, impactful insights that influence race outcomes.

What are the key skills and qualifications needed to thrive as a motorsport data scientist, and why are they important?

To thrive as a Motorsport Data Scientist, you need a strong background in data analysis, statistics, and programming (typically Python or R), along with a degree in data science, engineering, or a related field. Familiarity with motorsport telemetry systems, data visualization tools, and machine learning frameworks is essential. Strong problem-solving abilities, attention to detail, and effective communication help translate data insights into actionable strategies for race teams. These skills are crucial for optimizing performance, making real-time decisions, and gaining a competitive edge in high-pressure racing environments.

What is the difference between Motorsport Data Science vs Motorsport Data Analysis?

AspectMotorsport Data ScienceMotorsport Data Analysis
CredentialsDegree in Data Science, Statistics, or related fieldsOften similar, may require basic data skills
Work EnvironmentCollaborative teams, R&D settings, high-tech labsRace teams, engineering departments, data review sessions
Industry UsageDeveloping predictive models, machine learning applicationsInterpreting race data, performance reports
Common Search/ComparisonYesNo

Motorsport Data Science involves advanced analytics, machine learning, and predictive modeling to optimize performance, while Motorsport Data Analysis focuses on interpreting race data and generating reports. Both roles require strong data skills but differ in complexity and scope.

What are popular job titles related to Motorsport Data Science jobs?

For Motorsport Data Science jobs, the most frequently searched job titles are:

Infographic showing various Motorsport Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Damage Modeler

Concord, NC • On-site

GM Performance Power Units
See more jobs at GM Performance Power Unitsexternal

$51 - $66.25/hr

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Job description

GM Performance Power Units - Concord, NC
Damage Modeler - Onsite
Job Summary
GM Performance Power Units is seeking a highly motivated Damage Modeler to support the development, testing, and trackside operations of our Formula 1 Power Unit. Based in Concord, North Carolina, this role offers a unique opportunity to contribute to a foundational area of our F1 program and assist in building a world-class reliability team. The Damage Modeler will sit at the intersection of materials science, structural mechanics, and F1 operational data. The Damage modeler will work within the Reliability group and interact closely with design, materials, and reliability experts to ensure that component life predictions are grounded in rigorous mechanics and real-world operating evidence, leading to race wins for our advanced hybrid power unit, targeted for debut with the Cadillac F1 Team.
Key Responsibilities
Damage Model Development & Maintenance
  • Develop, validate, and maintain physics-based damage accumulation models for all life-critical PU components, covering LCF, HCF, creep, TMF, and combined damage interaction mechanisms.
  • Define and maintain material fatigue and creep databases for PU-relevant alloys, incorporating both published material data and GM PPU test-derived values as the program matures.
  • Apply established damage accumulation frameworks and assess their applicability and conservatism against observed field evidence, refining models accordingly.

Component Life Prediction & Duty Life Definition
  • Produce component duty life predictions from first principles, translating FEA stress/strain outputs, thermal analyses, and operational load spectra into quantitative life consumption estimates with associated uncertainty bounds.
  • Define and maintain the operational duty life limits for all regulated and reliability-critical PU components, providing the engineering basis for the component life budgets used by the reliability team and the parts analyst throughout the season.
  • Update life predictions continuously as in-season operating data, teardown evidence, and dyno test results expand the empirical basis for each model, maintaining a living lifing document set that reflects the current state of knowledge.

Load Spectrum Development & Operational Data Integration
  • Develop representative load spectra for PU components by processing operational data from ATLAS telemetry using cycle-counting and signal processing methods to characterize the damage-relevant content of each operating environment.
  • Work with the Reliability Data Engineer to establish automated data pipelines that continuously update load spectrum inputs from dyno and race telemetry, reducing the lag between operational evidence and updated life predictions.
  • Identify and quantify differences in damage severity across operating environments to ensure life budgets reflect the most damaging credible usage profile.

Failure Investigation & Model Correlation
  • Contribute to failure investigations by applying damage modeling perspective to assess model fidelity and identify whether failures are consistent with, or diverge from, model predictions.
  • Use failure and teardown evidence to calibrate and improve damage models over time, creating a structured feedback loop between physical observations and analytical predictions that continuously increases model confidence.

Cross-Functional Collaboration & Design Support
  • Partner with design engineers during new component development to provide life prediction input at gate reviews, identifying life-critical features, stress concentrations, and material choices that will determine duty life margins before hardware is committed to production.
  • Support FMEA processes by providing quantitative damage-based risk input - translating uncertainty in load, material, and geometry assumptions into probabilistic life estimates that inform risk prioritization.
  • Communicate life prediction results clearly to the broader reliability team, design organization, and program leadership, including explicit discussion of model assumptions, confidence levels, and the sensitivity of predictions to key input uncertainties.

Required Qualifications
  • Bachelor's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, or a closely related engineering discipline with a strong emphasis on structural mechanics, fatigue, or fracture mechanics.
  • 5+ years of engineering experience in a structural integrity, lifing, fatigue, or damage tolerance role - ideally within motorsport or high-performance automotive.
  • Demonstrated hands-on experience developing or applying damage models to predict fatigue or creep life of real hardware operating under complex, multi-mechanism loading conditions.
  • Prior experience correlating analytical life predictions against physical test or field failure evidence, and iteratively improving models on the basis of that correlation.

Technical Skills
  • Deep knowledge of fatigue and damage mechanics: Low-Cycle Fatigue(LCF), High-Cycle Fatigue(HCF), creep, Thermomechanical Fatigue(TMF), and combined-mechanism interaction - including the theoretical basis of each and their relative significance for different PU component types and operating regimes.
  • Proficiency in FEA tools (Abaqus, ANSYS, or equivalent) for stress/strain extraction from complex component geometries under thermal and mechanical loading; ability to critically interpret FEA outputs for lifing purposes.
  • Experience with cycle-counting methods and load spectrum development from time-history operational data.
  • Familiarity with fracture mechanics principles and crack propagation analysis (NASGRO, AFGROW, or equivalent) as applied to remaining life assessment.
  • Proficiency in Python or MATLAB for scripting damage calculation routines, processing large telemetry datasets, and automating life prediction workflows.
  • Working knowledge of metallic materials commonly used in high-performance engines and their fatigue and creep behavior at elevated temperatures.

Interpersonal & Organizational Skills
  • Able to communicate complex analytical results with appropriate nuance to both engineering peers and non-specialist stakeholders.
  • Intellectually rigorous and comfortable defending analytical conclusions under scrutiny from experienced engineers.
  • Able to manage multiple concurrent lifing analyses across different components and development phases in a fast-moving program environment.

Preferred Skills
  • Prior experience in an F1 or top-tier motorsport PU environment.
  • Master's degree or PhD in Mechanical Engineering, Aerospace Engineering, or Materials Science.
  • Experience with probabilistic life prediction methods applied to safety-critical rotating components.
  • Familiarity with TMF testing and model development for high-temperature alloys.
  • Experience processing and interpreting F1 or motorsport PU telemetry data using ATLAS or equivalent platforms to extract damage-relevant load history content.
  • Background in developing or applying creep-fatigue interaction models (e.g., strain range partitioning, frequency-modified methods) to hot-section components.
  • Knowledge of FIA Technical Regulations as they pertain to PU component specifications and homologation - sufficient to understand the regulatory context within which life predictions must be made and defended.

Why Join Us
Ready to be part of a team that pushes boundaries both on and off the track? At GM Performance Power Units, we are developing a new era of performance for the Formula 1 grid. Joining us means entering a startup racing environment backed by a legacy of engineering excellence, giving you the rare opportunity to help build a world-class program from day one. We believe in rewarding innovation and powering potential. As part of our team, you'll benefit from a competitive and comprehensive package designed to support your performance, well-being, and future, helping you thrive at every level.
That includes access to:
  • Bonus scheme
  • Private healthcare
  • 401(k) plan including company match
  • Employer-paid life insurance and disability coverage
  • 32 days annual leave (including holidays)
  • Free financial advisor access
  • Employee Assistance Programs (EAP)
  • Subsidized on-site dining
  • On-site gym
  • Discounted GM vehicle purchase/lease program
  • Free on-site EV charging for personal GM vehicles

It's all part of our commitment to creating a workplace that's as high-performing and forward-thinking as the people who make it succeed.
Join us and help power what's next.
You'll play a pivotal role in ensuring the reliability and performance of a next-generation Formula 1 power unit. Our culture rewards precision, innovation, and the relentless pursuit of performance.
Please note: GM Performance Power Units and all affiliated companies are Equal Opportunity employer(s). Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf.
Only direct hires need apply to or inquire about job postings at GM Performance Power Units. We are not accepting calls, resumes or applications from recruiting firms at this time.

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