Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

NASCAR Senior Motorsports Mechanical Engineer

JR United Kingdom
Basingstoke
7 months ago
Applications closed

Related Jobs

View all jobs

Sr Data Analyst New York, New York

Social network you want to login/join with:

NASCAR Senior Motorsports Mechanical Engineer, Basingstoke

Client:Joe Gibbs Racing

Location:Huntersville, NC

Job Category:Other

EU work permit required:Yes

Job Views:5

Posted:03.03.2025

Expiry Date:17.04.2025

Job Description:

Job Summary:

As a Senior Engineer in the Vehicle Design Group at Joe Gibbs Racing, you will play a direct role in the development, implementation, safety, and reliability of our racecars.

Primary Responsibilities:

  1. Provide engineering support for Joe Gibbs Racing teams.
  2. Excel in a collaborative team setting, working to a very high standard, with a positive work attitude and willingness to help others succeed.
  3. Competently prioritize workloads and projects to manage time efficiently.
  4. Identify, consult, and resolve quality issues.
  5. Specify and communicate scientific and analytical plans and processes.

Required Qualifications:

  1. Candidate must have a minimum of 8 years of vehicle systems, design, and/or development engineering experience for a top-tier motorsports program, i.e.: NASCAR CUP or Xfinity, IndyCar, WEC, IMSA Prototype, F1, or Formula E.
  2. Bachelor of Science degree in Mechanical Engineering from an ABET accredited university. Preference will be noted for candidates with higher degrees.
  3. Applicants must be currently authorized to work in the United States on a full-time basis. We will not sponsor applicants for work visas.

Additional Attributes and Skills:

  1. A strong aptitude for mechanical systems, mechanical design, and application of engineering fundamentals to achieve tangible results.
  2. Strong communication skills required, both verbally and written across many platforms.
  3. An inquisitive nature and an innate ability to see differences and details between seemingly similar items.
  4. Ability to work independently and manage multiple projects concurrently, often with changing and tight timelines.
  5. Extensive knowledge of engineering materials and processes and the ability to apply that knowledge set to achieve a specific design solution/result.
  6. Knowledge of standard motorsports manufacturing processes, limitations, and workflows.
  7. Ability to create planned strategies for problem solving, including coordinating tests and writing test plans.
  8. Understanding of CAD systems, with preference toward experience with Siemens NX and Teamcenter.
  9. Use of common workplace Microsoft tools including Office, Teams, SharePoint, OneNote, etc.
  10. Proficiency with MatLab and/or Excel.
  11. An understanding of data collection/analysis systems (MoTeC, Pi, NI, etc.) and an ability to make informed decisions when provided large sets of data.

Logistics:

Job location is in Huntersville, NC; full-time, on-site work is required. While significant travel is not ordinary in this role, occasional travel (typically less than 5%) may be required for on-location tests, vendor audits, partner meetings, and/or race support.

How to apply:

Rev up your career and join our winning team at Joe Gibbs Racing! If you have the skills and experience to excel as a Senior Engineer, we would love to hear from you. Please submit your resume detailing your relevant experience to [emailprotected]. Please include "[Position Title] Application - [Your Name]" in the subject line.

Equal Opportunity Employer:

Joe Gibbs Racing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

#J-18808-Ljbffr

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.