Key Notes
Wayve’s Simulation Technology team combines classical simulation with machine-learned graphics to develop and evaluate driving intelligence at high fidelity and scale. The role requires 5+ years designing and programming software, strong Python, workflow-orchestration or data-intensive application experience, and deep user-level Kubernetes knowledge. The London role is full time under Wayve’s hybrid policy, with core working hours.
What You'll Work On
- Shape the technical roadmap for robot-emulator fidelity, visual fidelity or efficient scaling within Wayve’s simulation platform.
- Own simulator KPIs for cost, service-level objectives, throughput and latency and lead technical discussions on simulation-platform direction.
- Integrate simulated-robot components and machine-learned graphics into simulation services used by Wayve engineering teams.
- Build production-quality Python software and align implementation dependencies with robotics, research, platform and data teams throughout delivery.
Why This Role Matters
- Wayve’s driving-intelligence development uses the simulation platform to represent real-world conditions at high fidelity, making simulator accuracy and scale part of model evaluation.
- Robot-emulator and machine-learned graphics components meet in one platform, so dependency and KPI decisions determine its cost, throughput and latency for users.
What They Are Looking For
- Experience: 5+ years of industry experience designing and programming software is essential.
- Technical: Python and user-level Kubernetes are essential, alongside workflow orchestration such as Airflow, Dagster or Flyte and/or data-intensive application development.
- Technical: Systems- and data-oriented design, including reusable software and performance trade-offs, is essential.
- Preferred: Autonomous vehicles, robotics, scalable simulation or data-intensive workloads are desirable.
- Preferred: Cloud-GPU inference, NeRF, Gaussian Splatting or generative-AI graphics experience is desirable.
- Preferred: Go or C++ proficiency is desirable.