Senior Software Engineer Cloud Simulation

• We shape and implement the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling.
• We work closely with our robotics, research, platform, and data teams, as well as our Simulation Technology team, to ensure our simulation platform meets end-user needs.
• We own key performance indicators for simulator cost, SLOs, throughput, latency, and related metrics.
• We work cross-company to align technical dependencies for simulator implementation.
• We lead technical discussions and guide technical direction.
• We integrate the components of the simulated robot into the simulation platform.
• We integrate machine-learned graphics subsystems into the simulation platform.
• We implement production-quality software in Python.

Technologies:

• AI
• Airflow
• Cloud
• Hardware
• Support
• Kubernetes
• Machine Learning
• Python
• Robotics
• DevOps
• REST

More:

We are Wayve, founded in 2017 and the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, improving the usability and safety of automated driving systems. We are building mapless, hardware-agnostic autonomy for automakers to accelerate the transition from assisted to automated driving. We operate in a fast-paced, hybrid working environment from our London office, combining time in the office and workshops with time working from home. We value diversity, inclusion, and collaboration, and we support our people to do impactful work while continuing to learn and grow.

• We require 5+ years of industry experience designing and programming software.
• We require excellent development skills in Python.
• We require experience with workflow orchestration systems such as Airflow, Dagster, or Flyte, and/or developing data-intensive applications.
• We require deep knowledge of Kubernetes at the user level.
• We require a strong understanding of systems and data-oriented software engineering design, including code reusability and extensibility.
• We require an understanding of common software performance issues and design tradeoffs.
• We require excellent communication and people engagement skills.
• We value experience in autonomous vehicles or robotics.
• We value proficiency in additional programming languages such as Go or C++.
• We value experience scaling simulations or data-intensive workloads.
• We value experience designing, implementing, and optimizing large-scale machine learning inference systems in cloud GPU environments.
• We value experience operating and scaling modern machine-learned graphics techniques such as NeRF, Gaussian Splatting, or GenAI.