RobloxSan Mateo, CA, United States$227k-$295k
WayvePosted today
Vehicle Performance Modelling Engineer
Vehicle Performance Modelling Engineer at Wayve scores 85 out of 100 on AI centrality, which makes it a Level 4 role on this board.
AI in this role
Develop vehicle dynamics models and simulations to integrate into an embodied AI autonomous driving software stack.
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
As a Vehicle Performance Modelling Engineer you will be responsible for developing vehicle dynamics models and ensure simulations accurately represent real-world performance. This role provides the opportunity to implement the mathematical models, integrate them into the software stack, and evaluate their accuracy through simulation and experimental testing.
This role offers brings a unique opportunity to shape the future of vehicle dynamics at Wayve by creating accurate representations of vehicles for both online and offline systems. You will work cross-functionally with robotics, simulation and product teams to integrate vehicle models into Wayve’s innovative end to end driving stack.
Key responsibilities
- Vehicle Modelling: Develop virtual vehicle models using physics-based and data-driven techniques.
- Mathematical and Physical Modelling: Create detailed models that represent vehicle and subsystems virtually.
- Validation and Performance Correlation: Validate models with on-road data and identify and implement correlation improvements.
- Model Integration and Optimisation: Convert models into efficient, high-quality software components that meet accuracy, performance and scalability requirements.
- Performance Analysis: Own processes, tools and experiments to evaluate on-road vehicle performance metrics.
- Experimental Work: Plan, execute and analyse experimental tests to improve models accuracy.
- Communication and collaboration: Share results and insights with stakeholders to foster collaboration and drive innovation.
About you
In order to set you up for success as a Vehicle Performance Modelling Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- Experience in developing mathematical models and simulation algorithms for vehicle dynamics, robotics or control systems.
- Understanding of classical mechanics, numerical analysis and computational methods.
- Experience in validating simulation models against experimental data.
- Software development with C++ or Python.
Desirable
- Previous experience in vehicle dynamics modelling for autonomous vehicles, automotive or motorsport.
- Use of data-driven approaches (e.g. machine learning or system identification) for modelling systems with unknown physical parameters.
- Familiarity with high-fidelity vehicle dynamics modelling tools (e.g. Dymola, CarSim, CarMaker) and integration in simulation workflows.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where vehicle dynamics was part of your work. What did you do?
- Tell me about a project where mathematical modeling was part of your work. What did you do?
- Tell me about a project where simulation was part of your work. What did you do?
- Tell me about a project where robotics was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Vehicle Dynamics, Mathematical Modeling, Simulation, Robotics, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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