Product Engineer, Physical AI

Encord
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Initiative","Autonomy","Teamwork","Ownership"]

Build and maintain high-performance frontend experiences for Physical AI data, including real-time rendering of complex 3D scenes in the browser. Work across backend data pipelines, storage, visualization, and interaction to deliver end-to-end projects from architecture through deployment and monitoring. Use visual, spatial, and sensor data to model the physical world at massive scale, partnering with a small core engineering team.

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FursaFursa
Encord
Encord
3 months ago

Product Engineer, Physical AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and maintain high-performance frontend experiences for Physical AI data, including real-time rendering of complex 3D scenes in the browser. Work across backend data pipelines, storage, visualization, and interaction to deliver end-to-end projects from architecture through deployment and monitoring. Use visual, spatial, and sensor data to model the physical world at massive scale, partnering with a small core engineering team.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and maintain high-performance frontend experiences, including rendering complex 3D scenes with thousands of objects at smooth frame rates.
  • •Deliver full-stack work across backend data pipelines/storage and frontend visualization/interaction.
  • •Own projects end-to-end, including product and architectural decisions, deployment, monitoring, and measuring user impact.
  • •Work with visual, spatial, and sensor data to make sense of the physical world.
  • •Tackle complex domains at massive scale with simple, well-crafted solutions and continuous improvements.
Travel: Low travel

Pay and Benefits

Perks:Annual LeaveLearning Budget

Key Requirements

  • •Strong full-stack engineering experience, with particular strength in complex, high-performance frontend work.
  • •Experience rendering 3D scenes and working with spatial/sensor data, ideally with WebGL or similar technologies.
  • •Proficiency in Python and/or TypeScript, with experience with React being a plus.
  • •Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes).
  • •Experience in robotics, autonomous vehicles, or Physical AI is a plus.
Experience:Physical AIRoboticsAutonomous vehicles
Skills:Problem-solvingInitiativeAutonomyTeamworkOwnership
Tech Stack:PythonTypeScriptReactKubernetesGCPPyTorchCUDARayWebGL

Company Brief

Encord
Provides a computer vision data platform for labeling, dataset management, and model evaluation, enabling teams to build, validate, and monitor ML models with collaboration and tooling for high-quality annotated data.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: London, United Kingdom
Founded: 2019
WebsiteLinkedIn