Software Tech Lead, Simulation

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.

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.

At Wayve, 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 software engineer technical lead for Wayve’s Simulation Technology team, you will be an expert software architect who evolves a core component of Wayve’s simulation platform, which is used to develop and evaluate Wayve’s driving intelligence.

Wayve’s approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale.

You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high-signal simulations.

Challenges they will own

• Own key performance indicators (KPIs) for simulator realism, reproducibility, and/or cost
• Work cross-company on aligning technical dependencies for simulator implementation
• Lead technical discussions and guide technical direction
• Effectively integrate the components of the simulated robot into the simulation platform
• Effectively integrate machine-learned graphics subsystems into the simulation platform
• Implement production quality software in C++ and Python

About you

Essential

• Domain experience in simulation, motion planning, localization, controls, modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI) or other areas of robotics
• Good development skills in Python and C++, including modern C++ (11, 14, 17, 20)
• Good sense of systems and data oriented software engineering design - what makes code reusable and extensible
• Understanding of common software performance issues and design tradeoffs
• 5+ years of industry experience designing and programming software
• Excellent communication and people engagement skills

Desirable

• Experience in the field of autonomous vehicles
• Experience with simulating / modelling the dynamics of vehicles and robots.
• Experience with simulating / modelling real sensors (lidar, radar, gnss, etc...), including modelling noise
• Experience implementing modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI)
• Experience with rigid body simulation
• Experience with design, implementation, and optimization of large-scale machine learning inference systems running in cloud GPU environments
• Experience with cloud infrastructure (AWS, Azure and/or GCP).

This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

#LI-FH1

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.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

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.