The role
As a software engineer for Wayve’s Simulation Technology team, you will be an expert software engineer who evolves a core component of Wayve’s simulation platform, used to develop and evaluate Wayve’s driving intelligence. 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 work closely with robotics, research, platform and data teams, as well as the Simulation Technology team to ensure that the simulation platform meets the needs of our end-users by providing accurate, scalable, and high-signal simulations.
Challenges you 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)
Location and work arrangements
This is a full-time role based in our office in Sunnyvale. We operate a hybrid working policy that combines time together in our offices and workshops with time spent working from home. We offer flexible core working hours to accommodate schedules.
Equal Employment Opportunity
Wayve is committed to creating an inclusive interview experience. If you require 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. Wayve is 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. 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.
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