National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

▷ 3 Days Left: Team Lead - F1 Motorsport Tire R&DEngineer

General Motors
Brackley
2 months ago
Applications closed

Job Description Hybrid: This role is categorized ashybrid. This means the successful candidate is expected to reportto Concord, NC three times per week, at minimum. The Role We areseeking a Team Leader to lead GM Motorsport's Formula 1 TireResearch and Development group in developing and integrating tiremodels with simulation (real-time and off-line) using flat track,test, race event, and other applicable data to improve tireperformance. You will collect information from sources inside andoutside GM, characterize tire models and interpret results formotorsports. As a key team member, you will attend Motorsportstesting domestically and internationally, cooperate with GMaffiliated Motorsports teams, and enable the transfer of knowledgefrom Motorsports to GM Production. In this constantly evolvingenvironment, the team works with innovative testing and analyticaltechnologies to review tire force and moment (F&M) propertiesto virtually integrate tire performance to enable vehicle dynamicssimulations for original equipment applications as well. You canget further details about the nature of this opening, and what isexpected from applicants, by reading the below. Joining the GMMotorsports Organization will provide you with the experience andexposure it takes to build and maintain successful race teams andthe opportunity to showcase your vehicle dynamics and simulationskills, contribute to innovation, connect lessons learned in racingto production intent vehicles, work cross functionally with ourpartners and ultimately, help shape the future of Motorsports! WhatYou’ll Do: - Develop methods to process, review, and qualify tiretest data - Attend and support Driver Simulation sessions - AttendTire Testing - Fit tire test data (F&M Flat Trac and anyallowable vehicle testing) to models with documented quality -Scale and synthesize models based on feedback from secondary datasources - Develop extensive enhancements to advance tire models,tools, and methods - Enable tire technology transfer - Supportintegration of tire models with real-time simulation environments -Domestic and International travel is required and expected1-2x/month for 2-4 days in duration; tire testing occurs during theweek - limited weekend travel may be required to arrive to the testfacility – full details to be discussed. #LI-LP2 Additional JobDescription Your Skills & Abilities (Required Qualifications) -Bachelor of Science in Mechanical, CAE, or Software Engineering orrelated field - 10+ years of engineering experience or completionof an advanced degree - Formula 1 or Professional Motorsportsexperience is required - Vehicle dynamics and simulation experience- MATLAB or Python coding for modeling and analysis - Motorsportdata acquisition software - Demonstrated ability to collaboratewith a team, as well as work independently - This job may beeligible for relocation benefits - A company vehicle will beprovided for this role with successful completion of a MotorVehicle Report review What Will Give You A Competitive Edge(Preferred Qualifications) - Advanced degree in the field of Mathor Science – Master’s or PhD - Knowledge of tire model fittingroutines from Flat-Trac and WFT data - Pi Toolbox experience -Experience implementing tire models in real-time simulationenvironments to support Driver-in-the-Loop and offline simulationwork. - Prior F1 Experience About GM Our vision is a world withZero Crashes, Zero Emissions and Zero Congestion and we embrace theresponsibility to lead the change that will make our world better,safer and more equitable for all. Why Join Us We aspire to be themost inclusive company in the world. We believe we all must make achoice every day – individually and collectively – to drivemeaningful change through our words, our deeds and our culture. OurWork Appropriately philosophy supports our foundation of inclusionand provides employees the flexibility to work where they can havethe greatest impact on achieving our goals, dependent on roleneeds. Every day, we want every employee, no matter theirbackground, ethnicity, preferences, or location, to feel theybelong to one General Motors team. Benefits Overview The goal ofthe General Motors total rewards program is to support the healthand well-being of you and your family. Our comprehensivecompensation plan incudes, the following benefits, in addition tomany others: • Paid time off including vacation days, holidays, andparental leave for mothers, fathers and adoptive parents; •Healthcare (including a triple tax advantaged health savingsaccount and wellness incentive), dental, vision and life insuranceplans to cover you and your family; • Company and matchingcontributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize andbe recognized for results and behaviors that reflect our companyvalues; • Tuition assistance and student loan refinancing; •Discount on GM vehicles for you, your family and friends. DiversityInformation General Motors is committed to being a workplace thatis not only free of discrimination, but one that genuinely fostersinclusion and belonging. We strongly believe that workforcediversity creates an environment in which our employees can thriveand develop better products for our customers. We understand andembrace the variety through which people gain experiences whetherthrough professional, personal, educational, or volunteeropportunities. GM is proud to be an equal opportunity employer. Weencourage interested candidates to review the key responsibilitiesand qualifications and apply for any positions that match yourskills and capabilities. Equal Employment Opportunity Statements GMis an equal opportunity employer and complies with all applicablefederal, state, and local fair employment practices laws. GM iscommitted to providing a work environment free from unlawfuldiscrimination and advancing equal employment opportunities for allqualified individuals. As part of this commitment, all practicesand decisions relating to terms and conditions of employment,including, but not limited to, recruiting, hiring, training,promotion, discipline, compensation, benefits, and termination ofemployment are made without regard to an individual's protectedcharacteristics. For purposes of this policy, “protectedcharacteristics" include an individual's actual or perceived race,color, creed, religion, national origin, ancestry, citizenshipstatus, age, sex or gender (including pregnancy, childbirth,lactation and related medical conditions), gender identity orgender expression, sexual orientation, weight, height, maritalstatus, military service and veteran status, physical or mentaldisability, protected medical condition as defined by applicablestate or local law, genetic information, or any othercharacteristic protected by applicable federal, state or local lawsand ordinances. If you need a reasonable accommodation to assistwith your job search or application for employment, email us or call us at 800-865-7580. In youremail, please include a description of the specific accommodationyou are requesting as well as the job title and requisition numberof the position for which you are applying.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.