We're looking for curious, ambitious graduates who are excited to launch their software engineering careers and make an impact from day one. You'll join us around June/September 2026 as part of a small, highly collaborative team that's building the next generation of AI infrastructure.
At Encord, you'll work alongside serial founders, ex-computer scientists, physicists, and quants who care deeply about building great products and shipping fast. We're looking for graduate full-stack engineers — whether you're more front-end or back-end leaning — who are passionate about solving real customer problems and thrive in autonomous squads of 4–5 people.
Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we're over 100 and continuing to accelerate. Joining us now means stepping in at a crucial stage of expansion for the company, product, and team.
What you'll do
- Take end-to-end ownership of your projects, from product, design and architectural decisions through to deployment, monitoring and measuring impact on users
- Work across the full stack, covering everything from deployment to styling
- Take initiative, be proactive in problem-solving, and continuously seek improvements
- Tackle complex domains and immense scale with simple, elegant solutions
- Collaborate with a lean, high-trust team to solve challenging problems together
Who we're looking for
- Eager to learn and grow: You've built small projects, coursework assignments, or personal apps, and are excited to apply what you've learned to real-world systems. You're curious about how reliable, high-performance software is built and keen to learn from experienced engineers
- Motivated by impact: You want your work to make a meaningful difference. You're excited by the idea of contributing to products that real people use and that deliver tangible results
- A natural builder: You enjoy creating things from the ground up, whether that's writing code, designing systems, or experimenting with new technologies. You're comfortable exploring across the stack and love solving problems
- Comfortable with ambiguity: You don't need every detail defined before you start. You enjoy figuring things out, learning as you go, and using feedback to guide your work
- Collaborative and supportive: You value teamwork, communication, and helping others succeed. You take feedback well, share ideas openly, and contribute to a positive, high-performing team culture
Experience requirements
- Currently pursuing or holding a Bachelor's or Master's degree in Computer Science, Physics, Engineering, Mathematics, or a related technical field — or have gained equivalent expertise through coding bootcamps or relevant work experience
- Proficient in one or more programming languages such as Python, Go, C#, C++, Java, Ruby on Rails, or JavaScript
- Familiarity with any of the following is a bonus: React, Kubernetes, GCP, PyTorch, CUDA, Ray
Tech stack
- Backend: Python
- Frontend: TypeScript and React
- Deployment: Kubernetes
- Infrastructure: GCP
- Machine Learning: PyTorch, CUDA, Ray
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 start-up
- 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
Top Skills
What We Do
Encord is the data layer for physical AI. We're how the world's most ambitious AI teams turn messy, multimodal data into production systems - from humanoid robots to autonomous vehicles to smart infrastructure. 300+ teams including Toyota, Skydio, and Maxar rely on Encord to curate, manage, and align the data their models actually need. $110M raised. San Francisco, New York, and London.
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