Senior Mathematical Modeller
Senior Mathematical Modeller
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Job Description
At Williams Racing we are dedicated to pushing the boundaries of innovation and performance in motorsport. We are currently seeking a passionate Senior Simulation Development Engineer to join our Vehicle Dynamics Group. This is your chance to play a critical role in the continuous improvement of our vehicle models and simulation tools.
About the role:
As a Senior Simulation Development Engineer you will play a key role in developing and maintaining cuttingedge algorithms and simulations. Your work will directly influence the cars performance by improving tools such as lap time simulations ride analysis and setup optimization. You will also have the opportunity to help shape the teams technology development strategy ensuring Williams Racing remains at the forefront of vehicle dynamics innovation.
Key responsibilities:
Build and refine advanced simulations to evaluate vehicle dynamics and optimize performance.
Translate physical systems into mathematical models ensuring accuracy and reliability.
Collaborate across teams to deliver projects to agreed deadlines contributing to the teams overall success.
Continuously seek opportunities for process and technology improvements
Who you are:
To thrive in this role youll need a strong academic background in mathematics engineering or computer science. Your expertise should include numerical analysis calculus nonlinear constrained optimization and translating physical systems into mathematical models.
Youll be proficient in developing numerical algorithms in C/C (with experience in BLAS/Lapack) and have working knowledge of Python or MATLAB. Familiarity with Modelica is advantageous but not essential.
A collaborative mindset is vital as youll be working closely with teammates to solve challenges and innovate. Above all you should be motivated by new challenges and committed to continuous improvement bringing fresh ideas and enthusiasm to the role.
What were looking for:
A degree in Mathematics Engineering or Computer Science.
Expertise in: numerical analysis & linear algebra nonlinear constrained optimization optimal control calculus mathematical modeling of physical systems
Proven experience developing numerical algorithms and simulations in C/C (including BLAS/Lapack).
Proficiency in either Python or MATLAB and Modelica are advantageous but not essential
A collaborative mindset innovative thinking and a passion for tackling complex challenges.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
