Product Engineer, Physical AI

The Consensus

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
London office
25 days leave
Learning budget
Travel for visits/events
Team lunches
Offsites

Job summary

Encord in London is seeking an experienced full-stack engineer to build high-performance frontend experiences and data visualization for the Physical AI stack, from 3D rendering to browser performance.

You will own projects end-to-end, collaborate across backend and frontend, and work with robotics and autonomous-vehicle domains. Proficiency in Python/TypeScript and React is valued, with exposure to cloud infrastructure (GCP) and Kubernetes beneficial.

Qualifications

  • Experience building high-performance frontend applications and full-stack systems.
  • Experience with 3D rendering, WebGL, or spatial/sensor data visualization.
  • Proficiency in Python and/or TypeScript; React preferred.
  • Familiarity with cloud infrastructure (GCP) and Kubernetes deployment.
  • Robotics/Physical AI experience is a plus.
  • Ability to own and deliver projects end-to-end across the stack.

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 to frontend visualization and interaction
  • Take end-to-end ownership of projects, from product and architectural decisions through 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 using simple, well-crafted solutions
  • Take initiative and continuously seek improvements

Skills

Full-stack engineering
Frontend performance
3D rendering WebGL
Python/TypeScript
React
Cloud (GCP)
Kubernetes
Robotics/Physical AI

Tools

WebGL tooling

Job description

About us

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.

Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

The role

We're building tools for the full Physical AI data stack — from data acquisition, through ingestion and curation at scale, to 3D rendering, annotation, and verification. You'll solve problems of large-scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models, and squeezing performance out of web browsers.

You'll work with the biggest names in robotics and autonomous vehicles, and join a small, highly collaborative team at a crucial stage of accelerated development. You'll be a key driver of progress on a core part of our product, operating with a high degree of autonomy and crafting performant, reliable, and maintainable solutions at speed.

What you'll do
  • 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

  • Take end-to-end ownership of projects, from product and architectural decisions through to 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 using simple, well-crafted solutions

  • Take initiative, be proactive in problem-solving, and continuously seek improvements

Who we're looking for
  • Experienced: you've seen a lot and built a lot — personally developed and maintained multiple systems from scratch, with a deep understanding of the trade-offs involved in building reliable, performant software at speed

  • At home with challenging frontend work: you're comfortable rendering complex 3D scenes, working with spatial and sensor data, and optimising for browser performance

  • Impact-driven: you want your work to have a tangible outcome for people and aren't satisfied by products that don't see the light of day

  • A builder: you enjoy all aspects of building a complete product, are comfortable moving across the stack, and love problem-solving from first principles

  • Comfortable with uncertainty: happy to tackle problems without a predefined solution, and excited to make decisions autonomously as you go

  • A team player: you contribute your best work and actively help others do the same — you enjoy levelling up those around you

Experience requirements
  • Strong full-stack engineering experience, with a particular strength in complex, high-performance frontend work

  • Experience with 3D rendering, WebGL, or similar technologies for visualising spatial/sensor data is a strong plus

  • Proficiency in Python and/or TypeScript; experience with React a plus

  • Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes)

  • Experience in robotics, autonomous vehicles, or Physical AI is a plus

Tech stack
  • We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.

    • Backend: Python

    • Frontend: TypeScript and React

    • Deployment: Kubernetes

    • Infrastructure: GCP

    • Machine learning: PyTorch, CUDA, Ray

Why Encord
  • Competitive salary, commission, and meaningful equity in a high-growth startup

  • Strong in-person culture — most of the team works from our London office 4+ days/week

  • 25 days annual leave + UK public holidays

  • Annual learning & development budget

  • Travel for customer visits, events, and conferences across the UK and Europe

  • Company lunches twice a week

  • Monthly socials & bi-annual team offsites

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