Quant Developer in AI

About the role

About us

We're solving AI's hardest problem: alignment.

Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ of the world's leading AI teams, including Woven by Toyota, Hitachi, Skydio, AbbVie and Dyna, Walden and Agility Robotics. From autonomous vehicles and robotics to sports and healthcare, we're solving AI's hardest problem: turning complex, real-world data into production-ready intelligent systems.

We're a team of founders, scientists, quants, researchers, and former Olympians, who’ve helped build some of the most successful companies in Silicon Valley, and alumni of MIT, Stanford, UC Berkeley, Oxford, Cambridge, and Imperial. We’ve raised $110M from legendary technology investors, early backers of companies like Databricks, ElevenLabs and Vercel, and we’re growing at an extraordinary pace.

We're looking for exceptional people who want to help build a category-defining company, operating with high urgency and taking real ownership to help shape the future of AI.

Quant Developer in AI

You're a quant developer. You've built high-performance systems that process billions of events per day in real-time, and you care deeply about consistency, correctness and performance. Now you want to build in AI

This is your chance. Encord is a scale-up serving the frontier of physical AI and robotics, the largest technological revolution in history, where what you build ships fast and you own it. Help us build the AI data platform for the future of robotics.

The role

You know how to build systems that are fast and correct under pressure. The hardest problems in AI right now are data problems: distributed, data-intensive systems that have to stay correct and performant at scale.

You will join the Foundations team, who build the data systems that enable frontier robotics labs to generate, understand, train, and test on massive volumes of robotics data. We don’t just react to an order book tick - you will need to handle large 3D scenes, hour-long videos, LIDAR point clouds, and ML inference, all under tight performance and operational budgets.

Why now? A year ago we were a team of 100; now we're over 180 and still accelerating. You'll work directly with a high-bar team, take on high-stakes problems, and help shape where the platform goes next.

What you'll do

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Design, build, deploy and own data systems processing petabytes of data across billions of items, from design and architectural decisions all the way to deployment, monitoring and measuring impact

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Build robust distributed systems and reason carefully about how they fail and how they behave under load

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Design performant protocols and APIs, and tackle complex domains and immense scale with correct and pragmatic solutions, moving extremely fast while maintaining engineering quality.

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Build as part of a high-performing team, contribute your knowledge and experience to others.