Senior Software Engineer, Simulation
About The Position
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, 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.
Requirements
- 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
Nice To Haves
- 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).
Responsibilities
- 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
Benefits
- We operate core working hours so you can determine the schedule that works best for you and your team.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
