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 cutting-edge algorithms and simulations. Your work will directly influence the car’s performance by improving tools such as lap time simulations, ride analysis, and setup optimization. You will also have the opportunity to help shape the team’s 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 team’s overall success. Continuously seek opportunities for process and technology improvements. Who You Are To thrive in this role, you’ll 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 . You’ll 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 you’ll 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 We’re 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 is advantageous but not essential. A collaborative mindset, innovative thinking, and a passion for tackling complex challenges. Williams is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.
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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 cutting-edge algorithms and simulations. Your work will directly influence the car’s performance by improving tools such as lap time simulations, ride analysis, and setup optimization. You will also have the opportunity to help shape the team’s 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 team’s overall success. Continuously seek opportunities for process and technology improvements. Who You Are To thrive in this role, you’ll 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 . You’ll 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 you’ll 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 We’re 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 is advantageous but not essential. A collaborative mindset, innovative thinking, and a passion for tackling complex challenges. Williams is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.
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