Senior Full-Stack Engineer, Physical AI

Encord

United States

On-site

USD 120,000 - 180,000

Full time

10 days ago

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Benefits offered by this job

Competitive equity
Direct impact in a fast-growing AI fab
Office in North Beach, SF
Flexible PTO
Travel opportunities

Job summary

Encord is hiring for a role focused on building high-performance frontend experiences and data-driven visualization. You will work across the stack, handling data pipelines, storage, and interactive 3D rendering for Spatial AI applications.

You will own projects end-to-end, from architectural decisions to deployment, monitoring, and measuring user impact, collaborating with robotics and autonomous vehicle teams. This role emphasizes autonomy, speed, and reliability.

Qualifications

  • Strong full-stack engineering experience with emphasis on high-performance frontend work.
  • Experience with 3D rendering, WebGL, or related technologies for spatial/sensor data visualization.
  • Proficiency in Python and/or TypeScript; React experience is a plus.
  • Familiarity with cloud infrastructure (GCP preferred) and containerized deployment (Kubernetes).
  • Experience in robotics, autonomous vehicles, or Physical AI is a plus.

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 to frontend visualization and interaction.
  • Take end-to-end ownership of projects from product decisions through deployment, monitoring, and user impact measurement.
  • 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.
  • Take initiative and continuously seek improvements.

Skills

Full-stack engineering
3D rendering
WebGL
Python
TypeScript
React
GCP
Kubernetes
Problem solving
Autonomy

Tools

React (library)
Kubernetes
GCP

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

  • Clear, accelerated growth opportunities as the company scales rapidly

  • Strong in-person culture: 4-5 days/week in our newly launched North Beach loft office

  • Flexible PTO to fully recharge

  • 18 paid vacation days in the U.S. plus federal holidays

  • Annual learning & development budget

  • Comprehensive health, dental, and vision coverage

  • Frequent travel opportunities across the U.S., London, and Europe

  • Bi-annual company offsites, twice-weekly team lunches, and monthly socials

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