At a Glance
- Tasks: Build AI infrastructure for robots to learn complex tasks instantly.
- Company: Join a pioneering robotics company transforming AI interaction.
- Benefits: Competitive salary, collaborative culture, and impactful work.
- Other info: Dynamic environment with opportunities for meaningful technical decisions.
- Why this job: Be part of a founding team redefining robotics with cutting-edge technology.
- Qualifications: Experience in AI infrastructure or high-performance computing is a plus.
The predicted salary is between 70000 - 90000 £ per year.
Robotics is approaching a defining moment. Artificial intelligence transformed how we interact with language. The next breakthrough will transform how machines interact with the physical world. Be a part of it.
Build a new generation of AI enabling robots to learn. They will pick up complex tasks from a single demonstration due to this technology. No need for months of programming, extensive data collection or thousands of examples; the technology allows robots to learn almost instantly. Simply show the robot what to do and it can begin performing the task with immense degrees of accuracy. Changing robotics forever.
This fundamentally different approach stems from years of scientific research and a series of breakthroughs in simulation, robotics and machine learning. It has already attracted significant backing from leading investors and now we are assembling a small team of exceptional engineers to help define what comes next. This is a talent dense organisation; you’ll have a voice and a stake in the company.
Responsibilities
- Take ownership of the infrastructure that powers the AI training. This is not a conventional infrastructure role. You will work at the intersection of machine learning, distributed systems, cloud computing, and robotics, building the platforms that enable cutting‑edge research to become production‑ready technology. You may need to build a platform no one else has before.
- Design and scale the systems that support large‑scale model training, improve the efficiency of distributed workloads, and develop the tooling that enables researchers to experiment rapidly and deploy new ideas with confidence. You will become a part of the founding team, helping to solve some of the most challenging engineering problems in modern AI and influencing the technical direction of the company from an early stage.
Qualifications
- Engineers may come with experience building high‑performance infrastructure for machine learning or other compute‑intensive workloads. You may have worked in AI infrastructure, platform engineering, high‑performance computing, or a related field. Experience with distributed training, GPU orchestration, cloud infrastructure, modern deep learning frameworks, and production software engineering will be valuable, although we care far more about your ability to solve complex technical problems than the title on your CV.
Culture
The people who will thrive here are naturally curious, deeply technical, and motivated by difficult problems. They enjoy building new systems rather than maintaining existing ones, are comfortable working across research and engineering, and want the freedom to make meaningful technical decisions from the outset.
Join us
If you are looking for an opportunity to help build technology that will redefine robotics, alongside an ambitious and highly collaborative team, we would love to hear from you.
Founding Engineer - AI Infrastructure 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 Engineer - AI Infrastructure 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 Engineer - AI Infrastructure 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.
