At a Glance
- Tasks: Lead GPU infrastructure projects and develop automation for large-scale GPU clusters.
- Company: Pioneering tech company at the forefront of AI compute technology.
- Benefits: Full benefits package and a competitive salary of £150,000.
- Other info: Join a collaborative environment with opportunities for growth and innovation.
- Why this job: Shape the future of AI compute while leading a dynamic engineering team.
- Qualifications: Experience with GPU clusters, strong troubleshooting skills, and leadership abilities.
The predicted salary is between 150000 - 150000 £ per year.
Are you looking for an exciting new opportunity?
Join a pioneering compute infrastructure technology company building the platforms and tools that power the rapidly evolving AI compute market.
The organisation develops financial and settlement infrastructure for compute, including technology that connects buyers with GPU capacity, while building automated systems to validate, benchmark, and certify large-scale GPU clusters.
The successful candidate will take end-to-end ownership of the GPU infrastructure function, developing the frameworks and automation used to validate, benchmark, and certify large-scale GPU clusters.
Combining hands-on engineering with technical leadership, they will build deployment and testing tooling, establish infrastructure standards, shape technical strategy alongside the founders, and ultimately build and lead the team responsible for the function.
Responsibilities
- Design and run cluster validation and certification: performance benchmarks, interconnect testing (NCCL, Infini Band/Ro CE), thermal and power verification, availability monitoring against SLAs.
- Build automation for cluster deployment, health checks, and continuous testing so certification scales without headcount scaling with it.
- Set the technical standards for what "deliverable compute" means: node configs, network topologies, storage, cooling envelopes.
- Work directly with capacity providers (neoclouds, data centre operators) during onboarding, from site walkthroughs to acceptance testing.
- Feed what you learn on the ground back into our contract specs, index methodology, and product roadmap.
- Hire and lead the infrastructure engineering team as we grow.
Skills/Must have
- Experience deploying GPU clusters at varying scales, from smaller node deployments to environments with hundreds or thousands of GPUs, across both air-cooled and liquid-cooled infrastructure.
DLC experience is highly advantageous.
- Strong experience troubleshooting complex infrastructure issues, including cabling and topology errors, firmware mismatches, failing optics, thermal throttling, and production performance challenges.
- Experience automating infrastructure-as-code deployments, monitoring and alerting stacks, and hardware acceptance and regression testing.
- Deep familiarity with the NVIDIA technology stack, including HGX platforms, NVLink/NVSwitch, CUDA-level debugging, and NCCL performance tuning.
- Strong leadership skills with the ability to set technical direction, solve complex problems, and guide engineering teams.
- Excellent communication skills with the ability to engage effectively with non-infrastructure stakeholders, including traders, lawyers, capacity providers, and regulators.
Benefits
- Full Benefits
Salary
- £150,000 Base Salary
- #J-18808-Ljbffr
GPU Infrastructure Lead - Systems Integrator in London employer: Hamilton Barnes Associates Limited
Hamilton Barnes Associates Limited is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a focus on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge areas like network automation and cloud technologies. Our competitive salary package and commitment to solving complex engineering challenges make us an attractive choice for talented individuals seeking meaningful and rewarding careers.
Contact Details:
Hamilton Barnes Associates Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land GPU Infrastructure Lead - Systems Integrator in London
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We think you need these skills to ace GPU Infrastructure Lead - Systems Integrator in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Hamilton Barnes Associates Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hamilton Barnes Associates Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Hamilton Barnes Associates Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Hamilton Barnes Associates Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
