At a Glance
- Tasks: Build cutting-edge AI systems for robots to learn from human demonstrations.
- Company: Elite robotics startup with a small, talented team and significant funding.
- Benefits: Competitive salary, equity options, and the chance to shape the future of robotics.
- Other info: Dynamic startup environment in central London with excellent growth potential.
- Why this job: Join a pioneering team and take ownership of innovative AI infrastructure projects.
- Qualifications: Strong background in AWS, Kubernetes, and GPU optimisation; MLOps experience preferred.
The predicted salary is between 70000 - 90000 £ per year.
Building foundation model style AI for physical intelligence and pioneering a system that allows robots to learn complex physical tasks from just a single human demonstration (think \"prompting\" a robot in the physical world).
Having recently closed a $40M Seed round backed by premier global investors, (marking one of the largest robotics seed investments in European history), they are intentionally keeping their team small, elite, and talent dense.
Their primary bottleneck is no longer collecting data, it is the raw speed, scale, and efficiency of training their models.
This business is looking for an elite engineer to \"run the show\" for their core model training infrastructure.
Sitting at the intersection of high performance computing, GPU orchestration, and MLOps, this individual will professionalise the company's infrastructure, eliminate training bottlenecks, and drastically accelerate research cycles.
This is a deeply technical, hands on position.
Rather than managing people or executing traditional Dev Ops/SRE maintenance, the successful candidate will be coding daily, designing scalable distributed systems from scratch, and squeezing maximum throughput out of large scale GPU compute clusters.
The founders are seeking a high agency engineer who thrives in early stage startup environments and prefers broad systems ownership over narrow specialisation.
- Technical
Expertise: Strong production background with AWS, Kubernetes, Slurm, Py Torch, and distributed training frameworks.
Deep hands-on experience with GPU compute optimisation, cluster scheduling, and high performance networking is essential.
- Relevant
Background: Experience in MLOps, AI infrastructure, or HPC.
Prior robotics experience is not required, though experience with computer vision pipelines is highly advantageous compared to text-only LLM backgrounds.
- Mindset: A desire to join a founding level team in person in central London, take full ownership of architectural decisions from day one, and capture substantial upside through equity.
Sounds good? Let's have a chat!
Lead AI Infrastructure & Distributed Systems 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 Lead AI Infrastructure & Distributed Systems 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 Lead AI Infrastructure & Distributed Systems 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.
