---
title: 'Senior Product Engineer, Physical AI at Encord'
canonical: 'https://feeny.ai/job/senior-product-engineer-physical-ai-encord-london-grfjnx77jtz0'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Product Engineer, Physical AI at Encord

- **Company:** Encord
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-26
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/encord/e93dca3d-7a84-4d0a-b482-81cb3be328df/application

**Skills:** Python, TypeScript, React, Kubernetes, GCP, Full-stack engineering, High-performance frontend development, WebGL, 3D rendering, PyTorch, CUDA, Ray, Robotics, Autonomous vehicles, Physical AI

> Encord is seeking a Senior Full-Stack Engineer to build high-performance frontend experiences and backend data pipelines for their Physical AI data stack. The role involves end-to-end ownership of projects, working with 3D rendering and spatial data, and operating with autonomy in a collaborative London-based team.

## 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

## About Encord

## Company Overview
- **One-liner**: Encord provides the data infrastructure layer for physical AI, helping teams curate, annotate, evaluate, and manage multimodal training data for systems like autonomous vehicles, robotics, and smart infrastructure.
- **Entity Type**: Private (Venture-backed, $110M total funding)
- **Headquarters**: San Francisco, California, United States (with offices in New York, NY and London, UK)
- **Founded**: 2021
- **Founders**: Ulrik Stig Hansen (CEO/Co-Founder), Eric Landau (Co-Founder & President)

## Core Business
- **Primary industry**: AI infrastructure / Data annotation & curation for Physical AI (autonomous vehicles, robotics, world models, industrial automation)
- **Target customers**: Enterprise AI teams building multimodal, sensor-heavy AI systems (B2B, Enterprise)
- **Mission/purpose**: "Train and run AI on the right data" – solving the data quality bottleneck that prevents AI products from reaching production.

## Products & Services
- **Encord Platform**: End-to-end data management platform covering curation, annotation (native video, LiDAR, audio, text, sensor fusion), RLHF alignment, and model evaluation. API/SDK-first, zero data migration, runs on the customer’s cloud.
- **Data-as-a-Service (DaaS)**: Professional services for data collection and annotation, including in-field operators and teleoperation facilities matched to physical AI tasks.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding $110.1M (as of 2026); annual revenue estimated at $5.5M (LinkedIn proxy, "Not publicly available" for official numbers)
- **Notable Investors/Partners**: CRV, Y Combinator (W21 batch), and individual investors like Luc Vincent (former VP of AI at Meta). Customers include Toyota, Skydio, Maxar, and UiPath (UiPath achieved near 99% model accuracy and 10x dataset growth using Encord).
- **Growth Signals**: 139 employees (+74.3% YoY, +78 people); 300+ teams using the platform; operates in 7 countries; recognized as one of the fastest-growing companies in the data annotation space; strong customer retention (e.g., UiPath 4x reduction in error rate).

## Competitive Advantages
- **Built for Physical AI**: Multimodal by design from the ground up – handles synchronized LiDAR, camera, radar, depth, force/torque, audio, and text in a single workflow.
- **Enterprise‑grade trust**: Zero data migration (data stays in customer cloud), API/SDK-first integration, label lineage and quality controls for production scale.
- **Proven at scale**: Used by leading autonomous vehicle, robotics, and enterprise AI teams; validated by public case studies (UiPath, Toyota, Skydio).

## Strategic Focus
- Deepen capabilities for world models, VLA (Vision-Language-Action) models, and robotic perception.
- Expand Data-as-a-Service offerings for physical AI data collection and annotation.
- Continue scaling the customer base across industrial, manufacturing, autonomous vehicles, and smart infrastructure verticals.

## Why Work Here
- **Culture**: “Strong in-person culture” with hybrid/office‑first approach (San Francisco, New York, London). 45+ nationalities represented. Core values: “Builds with care + urgency” and “High agency”.
- **Compensation & Benefits**: Equity in a hyper‑growth startup; 25 days paid time off; private health insurance (UK/US); team lunch twice a week; monthly team events and bi‑annual offsites; cycle to work scheme; home & tech scheme; annual learning & development stipend; payroll giving scheme.
- **Visa Policy**: Case-by-case visa sponsorship, confirmed early in the recruiter screen.
- **Interview Process**: Typically 4–5 stages: recruiter screen, hiring manager conversation, skills‑based interview or take-home, and final panel. Recruiter walks candidates through specifics upfront.
- **Early‑career programs**: Commercial Associate program (GTM launchpad) and early‑career engineering/ML roles – no formal internship program but hires ambitious early‑career candidates.

## Sources
1. [encord.com – Careers page](https://encord.com/careers)
2. [encord.com – Homepage](https://encord.com/)
3. [encord.com – About page](https://encord.com/about-us/)
4. [linkedin.com – Encord company page](https://es.linkedin.com/company/encord-team)
5. [ycombinator.com – Encord jobs](https://www.ycombinator.com/companies/encord/jobs)

## Other roles at Encord

- [Operations Associate](https://feeny.ai/job/operations-associate-encord-london-nzq5vgvwmpvn) — London, United Kingdom
- [Sales Director](https://feeny.ai/job/sales-director-encord-new-york-fbfzamax5s0z) — New York, NY
- [Financial Analyst](https://feeny.ai/job/financial-analyst-encord-london-sn0f04xmtywv) — London, United Kingdom
- [Learning & Development Specialist](https://feeny.ai/job/learning-development-specialist-encord-london-3jnes7dddr82) — London, United Kingdom
- [Technical Program Manager](https://feeny.ai/job/technical-program-manager-encord-london-szj48frfp5g0) — London, United Kingdom
- [Quality Systems Lead](https://feeny.ai/job/quality-systems-lead-encord-london-3ryf0bcpedap) — London, United Kingdom
- [Learning Design Lead](https://feeny.ai/job/learning-design-lead-encord-san-francisco-6dss6rc19q72) — San Francisco, CA
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-encord-london-3afsyr22tbxt) — London, United Kingdom
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- [DevOps Engineer](https://feeny.ai/job/devops-engineer-encord-san-francisco-jtf91046czvy) — San Francisco, CA