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, 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 you will own
Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.
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 Python
About you
Essential
Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications
Excellent development skills in Python
Deep knowledge of Kubernetes at the user level
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 or robotics
Proficiency with other programming languages like go or C++
Experience scaling simulations or data intensive workloads
Experience with design, implementation, and optimization of large-scale machine learning inference systems running in cloud GPU environments
Experience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI)
This is a full-time role based in our office in London. 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. We operate core working hours so you can determine the schedule that works best for you and your team.
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