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Ford Motor Company

Performance Engineer

Posted 2 Days Ago
Be an Early Applicant
Hybrid
2 Locations
Senior level
Hybrid
2 Locations
Senior level
Collaborate on LMDh vehicle performance development, focusing on optimization, testing, and cross-team coordination for endurance racing success.
The summary above was generated by AI

You will collaborate with a multidisciplinary team of engineers across vehicle dynamics, aerodynamics, powertrain and chassis design with a primary focus on the development and optimization of Ford's LMDh entry.  In this role, you will be a key contributor to Ford's return to the pinnacle of global endurance racing, ensuring the vehicle is competitive on the world's most demanding stages, including the FIA World Endurance Championship (WEC).

Please note: This role will be based in Oxford. 

Responsibilities

Process & Integration

  • Support the development and implementation of advanced methodologies and processes specifically designed to enhance LMDh performance
  • Collaborate with multiple engineering disciplines to align technical goals with the overall vision of the Performance Engineering Group and the LMDh program
  • Support the design, testing, and optimization of vehicles across concurrent programs, ensuring LMDh milestones are delivered on time and exceed performance expectations
  • Contribute to the continuous improvement of processes to achieve industry-leading performance across all Ford Racing Motorsports disciplines, including NASCAR, Sports Car, NHRA, and Off-Road

Innovation & Technical Expertise

  • Lead the planning and execution of track, lab, and high-fidelity simulator testing to refine the LMDh platform
  • Drive race performance through precision setup changes and the development of sophisticated race strategies tailored for endurance competition
  • Analyze test and race data from all technical disciplines (aerodynamics, vehicle dynamics, and powertrain) to provide actionable recommendations for performance gains
  • Drive innovation by identifying and solving complex vehicle behavior issues with realistic, logical, and implementable technical solutions
  • Leverage expertise in data analysis and emerging technologies to identify new areas of focus for LMDh performance optimization

Communication & Collaboration

  • Provide data-backed recommendations using deep knowledge of racing performance to optimize vehicle systems and resolve technical hurdles
  • Act as a bridge between the Aerodynamics, Vehicle Dynamics, and Powertrain groups to ensure all concepts are integrated optimally for total vehicle performance
  • Foster strong relationships with the design studio, program teams, and internal Ford technical groups to ensure seamless integration across all tools and platforms
  • Collaborate with internal Ford technical teams to improve methodologies, processes, and results, ensuring the LMDh program benefits from the full breadth of Ford’s global technical resources
Qualifications

You'll have…

  • 5+ years of related experience in the Race Engineering, Motorsports Performance or a related field, with a specific focus on vehicle dynamics, aerodynamics and associated testing methods.
  • Bachelor’s degree or higher in Engineering or a related subject.
  • International and Domestic travel will be required, including weekends.

Even better, you may have…

  • LMDh or Sportscar experience.
  • Extensive experience using data acquisition tools such as Bosch WinDarab, Motec i2, Atlas, Pi Cosworth, etc.
  • Significant experience using simulation software such as Dymola, VI Grade, CarSim, Canopy, etc.
  • Excellent communication and organization skills with ability to prioritize effectively
  • Strong ability and desire to work collaboratively with multiple groups and personnel across numerous disciplines
  • Excellent problem-solving and analytical skills
  • Passion for motorsports and a commitment to excellence
  • Race engineering experience in NASCAR, Indy Car, IMSA, WEC
  • Proven track record of successful project management, including experience managing complex projects with cross-functional teams
  • Prior experience leading and working within a fast-paced, collaborative environment
  • Deep understanding of mechanical design, manufacturing processes, and data analysis techniques
  • Strong knowledge of Machine Learning (ML) and Artificial Intelligence (AI) principles and applications

The Company is committed to diversity and equality of opportunity for all and is opposed to any form of less favorable treatment or harassment on the grounds of race, religion or belief, sex, marriage and civil partnership, pregnancy and maternity, age, sexual orientation, gender reassignment or disability.

As part of our pre-employment checks process, successful candidates will be required to undergo a criminal record check. This will be conducted in line with the 
Rehabilitation of Offenders Act 1974 and applied only to unspent convictions.

This position is based in Oxford and it is expected the successful candidate will be able to attend the Oxford site for typically 4 days a week and remain flexible on the days they are required to attend the office according to business requirements.

Top Skills

Artificial Intelligence
Atlas
Bosch Windarab
Canopy
Carsim
Dymola
Machine Learning
Motec I2
Pi Cosworth
Vi Grade

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