Software Engineer, Physical AI

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

• 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
• 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