At a Glance
- Tasks: Design and own AI training infrastructure, optimising performance and costs.
- Company: Exciting AI and robotics startup backed by Imperial College London.
- Benefits: Meaningful equity, autonomy, and the chance to shape the company's future.
- Other info: Join a small, ambitious team solving challenging engineering problems.
- Why this job: Work on cutting-edge AI tech that transforms human-robot interaction.
- Qualifications: Experience in large-scale distributed training and modern deep-learning frameworks.
The predicted salary is between 76023 - 95029 £ per year.
Robotics is about to have its Chat GPT moment.
We’re building a new kind of AI system that allows robots to learn complex tasks from a single demonstration.
No months of training data collection.
No painstaking programming.
Show the robot once and it gets to work.
Born out of years of research at Imperial College London and backed by one of the largest robotics seed rounds in the UK, we’re assembling a small, world‑class team to tackle some of the hardest engineering problems in AI.
We’re looking for an exceptional engineer to own the infrastructure powering our model training.
This isn’t traditional Dev Ops.
It isn’t conventional MLOps.
It’s a rare opportunity to sit at the intersection of machine learning, distributed systems, cloud infrastructure and robotics.
- What you’ll do
- Design and own our large‑scale AI training infrastructure.
- Scale distributed model training across hundreds of GPUs and multiple cloud environments.
- Optimise training throughput, GPU utilisation and infrastructure costs.
- Build the systems that transform vast amounts of simulation data into production‑ready models.
- Develop tooling and frameworks that accelerate research and experimentation.
- Work directly with our founders and research team to solve bottlenecks at the frontier of robotics.
- Shape the architecture, culture and technical direction of the company from day one.
- What we’re looking for
- Large‑scale distributed training.
- Py Torch and modern deep‑learning frameworks.
- Kubernetes, Slurm or GPU orchestration platforms.
- AWS and specialist GPU cloud providers.
- High‑performance computing and distributed systems.
- Training optimisation, memory management and networking.
- MLOps tooling, CI/CD and experimentation frameworks.
- Python and production‑grade software engineering.
- Computer vision, multimodal AI or transformer architectures.
- Bonus points if you’ve worked on
- Research infrastructure.
- Simulation systems.
- Robotics or embodied AI.
Who you are
- You’re deeply technical and happiest when solving difficult engineering problems.
- You thrive in small, ambitious teams.
- You enjoy building from scratch rather than maintaining legacy systems.
- You can move comfortably between research and production.
- You care about performance, elegance and impact.
- You want ownership, autonomy and the opportunity to shape something significant.
- Join one of Europe’s most exciting AI and robotics startups.
- Work alongside leading researchers from Imperial College London.
- Meaningful equity and genuine founding‑team influence.
- Solve problems that sit at the cutting edge of AI infrastructure.
- Build technology with the potential to redefine how humans interact with machines.
We’re intentionally keeping the team small, talent‑dense and highly collaborative.
If you want to spend your days solving genuinely difficult problems with exceptional people, we’d love to hear from you.
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Founding AI Infrastructure Engineer in London employer: LinuxRecruit
At LinuxRecruit, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of London. Our team-oriented environment encourages personal growth and development, allowing you to tackle real-world challenges while directly engaging with clients. With attractive compensation packages and a commitment to high trust and low ego, we offer a unique opportunity for meaningful and rewarding employment in the rapidly evolving field of AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Infrastructure Engineer in London
✨Dive into Robotics Meetups
Get yourself out there and connect with others in the robotics-automation field by attending local meetups and industry events. These gatherings are where the magic happens, and you might just rub shoulders with someone from LinuxRecruit or get insider tips on upcoming vacancies.
✨Showcase Your Projects
Create a portfolio that highlights your robotics projects, whether they're personal, academic, or freelance. Share this on platforms like GitHub or your personal website, as it shows potential employers, like LinuxRecruit, what you're made of and your hands-on experience in the field.
✨Utilise University Resources
If you're fresh out of university or still connected, don't underestimate your career services. They often have exclusive access to job fairs and employer networking events in technical fields like ours, so make sure you tap into those resources to discover openings at companies like LinuxRecruit.
✨Engage in Online Communities
Join online communities that focus on robotics and automation, such as forums or LinkedIn groups. Engage in conversations, ask questions, and share insights. This not only builds your visibility but could also lead to direct connections at firms like LinuxRecruit, which might have the full-time role you're after.
We think you need these skills to ace Founding AI Infrastructure Engineer in London
Some tips for your application 🫡
Showcase Your Technical Skills:In the robotics and automation field, it's crucial to highlight your technical skills on your CV. Include specific programming languages, software platforms, and any relevant robotics experience. Don’t forget to mention any projects or systems you've developed – this info can really make you stand out!
Portfolio Perfection:Having a polished portfolio can speak volumes for a role in robotics. Include any relevant case studies, designs, or prototypes you've worked on. If you've participated in competitions or hackathons, showcase these achievements as well – they show initiative and problem-solving skills!
Tailored Cover Letter Magic:In your cover letter, don’t just tell us that you love robotics—tell us why you’re passionate about automation specifically! Explain how your skills can contribute to LinuxRecruit’s projects and remember to connect your past experiences to what you'll be doing in this role.
Certifications Matter:If you’ve got any relevant certifications, such as in robotic process automation or machine learning, make sure they’re front and centre on your CV. These credentials show you're dedicated to your field and keep you up to date with industry standards – we love to see that!
How to prepare for a job interview at LinuxRecruit
✨Showcase Your Technical Wizardry
For a role in robotics and automation at LinuxRecruit, it's crucial to demonstrate your technical skills. Be prepared to dive into specifics about the programming languages and tools you’ve used, like Python or ROS (Robot Operating System). Brush up on your knowledge of algorithms and control systems, as these might come up during technical questions.
✨Bring Your Projects to Life
With a full-time position in robotics, you should have a portfolio of your projects ready to show. Whether it's a robot you built for a competition or a simple automation script, make sure you can discuss the challenges you faced and how you solved them. This hands-on experience is gold and shows you can apply theoretical knowledge in real-world scenarios.
✨Think Like an Engineer
Expect some problem-solving scenarios during your interview. You might be asked to design a basic automation solution on the spot or troubleshoot a robotic system. Practising these types of technical questions can really set you apart, as they require critical thinking and a systematic approach to tackle problems.
✨Culture Fit Is Key!
Don’t underestimate the importance of cultural fit at LinuxRecruit. They might ask about your teamwork experience and how you handle challenges with peers. Be ready to share examples of working in diverse teams, as collaboration is often central to projects in robotics and automation.
