Product Engineer, Physical AI
Builds and owns full-stack products for the Physical AI data stack, with a focus on high-performance frontend experiences, 3D visualisation, and spatial or sensor data. The role requires strong software engineering experience, Python or TypeScript proficiency, and familiarity with cloud infrastructure and Kubernetes.
About the job
Responsibilities
- Build and maintain high-performance frontend experiences, including rendering complex 3D scenes with thousands of objects at smooth frame rates.
- Work across the full stack, from backend data pipelines and storage systems to frontend visualisation and interaction.
- Own projects end to end, from product and architectural decisions through deployment, monitoring, and measuring user impact.
- Work with visual, spatial, and sensor data to model the physical world.
- Tackle complex domains at massive scale using simple, well-crafted solutions.
- Take initiative, solve problems proactively, and continuously seek improvements.
Requirements
- Strong full-stack engineering experience, with particular strength in complex, high-performance frontend work.
- Experience personally developing and maintaining multiple systems from scratch, with a deep understanding of reliability, performance, and delivery trade-offs.
- Comfort rendering complex 3D scenes, working with spatial and sensor data, and optimising browser performance.
- Proficiency in Python and/or TypeScript.
- Familiarity with cloud infrastructure, preferably GCP, and containerised deployment with Kubernetes.
- Ability to work autonomously in ambiguous problem spaces and make decisions without predefined solutions.
- Collaborative approach and willingness to help teammates improve.
Nice-to-haves
- Experience with 3D rendering, WebGL, or similar technologies for visualising spatial or sensor data.
- Experience with React.
- Experience in robotics, autonomous vehicles, or Physical AI.
Compensation and Benefits
- Competitive salary, commission, and meaningful equity.
- Strong in-person culture, with most of the team working from the London office four or more days per week.
- 25 days of annual leave plus UK public holidays.
- Annual learning and development budget.
- Travel for customer visits, events, and conferences across the UK and Europe.
- Company lunches twice a week.
- Monthly socials and bi-annual team offsites.
Skills
Python, TypeScript, React, Webgl, 3D Rendering, Kubernetes, GCP, PyTorch, CUDA, Ray, Spatial Data, Sensor Data, Data Pipelines, Cloud Infrastructure, Browser Performance
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