Wayve

AI

SeniorSoftwareEngineer,Cloud,Simulation

London, England, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, Cloud, Simulation at Wayve. Skills: Python, Kubernetes, workflow orchestration systems, data intensive applications, machine learning inference systems, cloud GPU environments, machine learned graphics techniques. evolves a core component of Wayve’s simulation platform. shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling”

What You'll Achieve.

Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.

Industry & Context.

AI
Problems you'll solve

complex challenges; unlock groundbreaking solutions; design tradeoffs

What They're Looking For.

Must Have

workflow orchestration systems (e. g. Airflow, Dagster, Flyte, etc. ), developing data intensive applications, Python, Kubernetes at the user level, systems and data oriented software engineering design, common software performance issues and design tradeoffs, 5+ years of industry experience designing and programming software, Excellent communication and people engagement skills

Nice to Have

autonomous vehicles or robotics, go, C++, scaling simulations or data intensive workloads, design, implementation, and optimization of large-scale machine learning inference systems running in cloud GPU environments, operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI)

What You'll Do.

evolves a core component of Wayve’s simulation platform

shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity

and high-signal simulations

Implement production quality software in Python

How You'll Work.

Team & Collaboration

working closely with our robotics, research, platform and data teams; working closely with the rest of the Simulation Technology team; Work cross-company on aligning technical dependencies for simulator implementation; Lead technical discussions and guide technical direction

Communication Scope

Excellent communication and people engagement skills

Full Job Description

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! 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 provid

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