Quant Developer in AI
Build and own high-performance distributed data systems for Encord's AI data platform, processing petabytes of robotics data (3D scenes, video, LiDAR, ML inference) at scale. Requires Python or TypeScript plus a systems language like Rust/C++/Java/Go, based in the London office.
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- 1-5+ years building and operating serious institutional-scale systems
- Fluency in Python or TypeScript and deep understanding of at least one of Rust, C++, Java or Golang
- Solid core CS knowledge: data structures, algorithms, distributed systems concepts (databases, replication, partitioning, queuing, caching) and behavior under load
- Experience owning services in production and improving quality through code reviews, testing, rollout and monitoring
- Personally developed and maintained systems from scratch, understanding trade-offs in building reliable, performant software at speed
Nice to have
- Experience at a trading firm, market maker, hedge fund or exchange (trading systems, market data pipelines, tick/time-series stores, risk engines, ML/QR research pipelines)
- Experience with large data migrations or re-architecture projects
Full description
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
- 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
- Build robust distributed systems and reason carefully about how they fail and how they behave under load
- Design performant protocols and APIs, and tackle complex domains and immense scale with correct and pragmatic solutions, moving extremely fast while maintaining engineering quality.