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

Apply Now

NASCAR Simulation Development Engineer, woking

JR United Kingdom
Woking
9 months ago
Applications closed

Social network you want to login/join with:

Client:

Joe Gibbs Racing

Location:

Woking, United Kingdom

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 Simulation Development Engineer for Joe Gibbs Racing, you will play a key role in the development, application, and support of predictive multi-body vehicle models, simulation tools, and driver-in-the-loop vehicle models. The ideal candidate will have at least 3 years of high-level simulation software engineering experience, centering around vehicle simulation, modeling, and validation. A high concern for quality, an ability to independently produce high-quality results, and skills to manage and process high volumes of complex data are necessary.

Joe Gibbs Racing is a premier NASCAR team known for its excellence in motorsports. With a legacy of success and a commitment to innovation, we recognize the pivotal role that both data and people play in optimizing performance and making strategic decisions. At Joe Gibbs Racing, we foster a culture of collaboration, creativity, and continuous improvement, where every team member plays a vital role in our pursuit of excellence both on and off the track.

Typical Responsibilities:

  • Work as a part of the Simulation Development Group to develop and validate high-fidelity vehicle models and simulation tools.
  • Craft programming solutions to grow model capability and accuracy while improving the user experience.
  • Develop and refine testing practices to improve model characterization.
  • Provide technical support and troubleshooting of complex simulation software in a fast-paced environment.
  • Process data and perform regression analysis to develop vehicle models and subsystems.
  • Support trackside and performance engineering groups with the use and interpretation of generated models and simulation outputs.
  • Work collaboratively with other simulation and software developers both within and outside Joe Gibbs Racing.
  • Work with race teams and performance engineering groups to guide development direction.
  • Organize and communicate important information related to the rapid evolution of simulation specifications and models.
  • Attend track and lab test events to assure proper data collection and perform on-site validation.
  • Gather feedback from application engineers to guide continuous improvement initiatives.

Required Education, Experience, and Skills:

  • BS in Engineering, Physics, or Computer Science.
  • At least 3 years' experience in professional simulation software development, particularly vehicle simulation.
  • Appreciation of vehicle dynamics theory, efficient modeling & coding practices.
  • Experience with full-vehicle simulation application and analysis.
  • Extensive experience in numerical methods.
  • Demonstrated skills in programming languages such as MATLAB, Python, or C.
  • Experience with multi-body model development is desirable.
  • Experience with documentation and versioning tools such as Jira, Git or similar is an advantage.
  • Desire to work in a collaborative, demanding, and fast-paced development environment.
  • Strong organizational and communication skills; significant outward communication is required.
  • High concern for quality and pride in individual work.

Logistics:

  • Job location is in Huntersville, NC; full-time, on-site work is required.
  • Occasional travel to test events is required.

As a member of Joe Gibbs Racing, you will enjoy a competitive salary and benefits package, including health insurance, retirement plans, and exciting opportunities to experience NASCAR events. You will be part of a close-knit team that values innovation, teamwork, and a passion for motorsports.

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 Simulation Development Engineer, we would love to hear from you. Please submit your resume detailing your relevant experience. Please include "[Position Title] Application - [Your Name]" in the subject line.

#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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.