At a Glance
- Tasks: Build high-performance frontend experiences and tackle complex data challenges.
- Company: Join Encord, a leading AI data platform trusted by top companies.
- Benefits: Competitive salary, equity, 25 days leave, and a vibrant team culture.
- Other info: Collaborative environment with excellent growth opportunities and regular team events.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: Strong full-stack experience, especially in frontend development and 3D rendering.
The predicted salary is between 60000 - 80000 £ per year.
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 defined 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.
- 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
- Strong in‑person culture — most of the team works from our London office 4+ days/week
- 25 days annual leave + UK public holidays
- Annual learning & development budget
- Travel for customer visits, events, and conferences across the UK and Europe
- Company lunches twice a week
- Monthly socials & bi‑annual team off‑sites
Product Engineer, Physical AI employer: Encord
Encord is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the GTM Finance Partner role. With a focus on employee growth and development, you will have the opportunity to shape financial strategies from the ground up while collaborating closely with cross-functional teams. Located in a vibrant environment, Encord offers unique advantages such as embracing cutting-edge AI tools and a commitment to meaningful work that drives both personal and professional fulfilment.
StudySmarter Expert Advice🤫
We think this is how you could land Product Engineer, Physical AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Encord or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving 3D rendering or complex frontend work. This is your chance to demonstrate your impact-driven mindset and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your full-stack knowledge. Be ready to discuss your experience with Python, TypeScript, and any relevant technologies. Practice coding challenges to keep your skills sharp!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our ambitious team at Encord. Don’t miss out!
We think you need these skills to ace Product Engineer, Physical AI
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it drives you. Share any personal projects or experiences that highlight your interest in the field, especially if they relate to Physical AI or robotics.
Tailor Your Experience:Make sure to customise your application to reflect the skills and experiences that align with the role. Highlight your full-stack engineering experience and any specific projects where you've tackled complex frontend challenges or worked with 3D rendering.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Encord
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, TypeScript, and React. Brush up on your knowledge of 3D rendering and WebGL, as these are crucial for the role. Being able to discuss how you've used these technologies in past projects will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your previous roles. Think about situations where you had to make decisions autonomously or work without a defined solution. This will demonstrate your ability to thrive in uncertainty, which is key for this position.
✨Highlight Your Impact-Driven Mindset
Be ready to discuss how your work has led to tangible outcomes in previous projects. Encord values impact-driven individuals, so share specific examples of how your contributions have made a difference, whether it’s through improving performance or enhancing user experience.
✨Emphasise Team Collaboration
Since the role involves working closely with a small team, be prepared to talk about your experiences in collaborative environments. Share instances where you’ve helped others succeed or contributed to team goals, showcasing your ability to lift those around you while delivering your best work.
