engineering
Posted 2 weeks agoProduct Engineer, Physical AI
at Encord
London, United KingdomOn-site
Requirements
- 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.
- 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.
- 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.
Benefits
- - 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 -