At a Glance
- Tasks: Develop and optimise GPU-accelerated software for cutting-edge data centre systems.
- Company: Join a forward-thinking renewable energy startup on a mission to revolutionise energy systems.
- Benefits: Competitive salary, equity bonus, tech allowance, and meal perks for office staff.
- Other info: Dynamic startup environment with opportunities for growth in sustainability-focused technology.
- Why this job: Be at the forefront of energy and AI, making a real impact in high-performance computing.
- Qualifications: 4+ years CUDA experience, strong C++ skills, and a deep understanding of GPU architecture.
The predicted salary is between 67500 - 82500 £ per year.
Description Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast.
We're combining first-principles thinking with cutting-edge technology to build a radically better energy system.
We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
As data centers become one of the largest and fastest-growing sources of electricity demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI - optimising how power-dense GPU workloads are scheduled, cooled, and balanced against grid conditions in real time.
We're looking for a Founding GPU Engineer to develop and optimise GPU-accelerated software for data center systems.
You'll work on low-level performance engineering for large-scale compute clusters, helping Fuse build the software layer that ties GPU workload behaviour to energy availability and grid demand.
The Opportunity Demand for high-performance compute capacity across the markets we operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale.
This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure.
Responsibilities Design, implement, and optimise CUDA kernels for high-throughput, latency-sensitive workloads.
Profile and tune GPU performance across compute, memory bandwidth, and interconnect (NVLink/PCIe) bottlenecks.
Build tooling to correlate GPU cluster power draw and utilisation with real-time energy pricing and grid signals.
Optimise multi-GPU and multi-node scaling using NCCL, MPI, or similar communication libraries.
Work with data center infrastructure teams on power capping, dynamic voltage/frequency scaling, and workload scheduling strategies that reduce energy cost and carbon intensity.
Collaborate with ML/systems engineers to integrate custom kernels into training/inference pipelines.
Benchmark against CPU/GPU baselines and drive continuous performance improvements.
Contribute to internal libraries, documentation, and best practices for GPU performance engineering.
Requirements4+ years of experience writing production CUDA code, or equivalent strong project/industry experience.
Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy).
Proficiency in C++ and CUDA; experience with Python for tooling/orchestration.
Experience with performance profiling tools (Nsight Systems/Compute).
Familiarity with multi-GPU/multi-node scaling (NCCL, MPI, RDMA/Infini Band).
Strong grasp of memory optimisation, kernel fusion, and parallel algorithm design.
Comfortable working across the stack from low-level kernels to system-level infrastructure.
Nice to Have Experience with Triton, cu DNN, cu BLAS, or custom ML inference/training frameworks.
Exposure to data center power/thermal management or demand-response systems.
Background in HPC, quantitative finance, or large-scale distributed systems.
Familiarity with Kubernetes/Slurm for GPU cluster orchestration.
Interest or experience in energy markets, grid systems, or sustainability-focused compute.
Benefits Competitive salary and an equity sign-on bonus.
Biannual bonus scheme.
Fully expensed tech to match your needs.
Breakfast and dinner allowance for office based employees.
Job Summary ID: 41EF45DDDFDepartment: Type: full time
Founding GPU Engineer in London employer: Fuse Energy Supply
Fuse Energy is an exceptional employer for Senior Mobile Engineers, offering a dynamic and innovative work environment in the heart of London. With a strong focus on employee ownership and autonomy, you'll have the opportunity to shape products from concept to launch while working alongside a talented team dedicated to revolutionising the renewable energy sector. The company provides competitive salaries, equity bonuses, and a culture that prioritises personal growth and cutting-edge technology, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding GPU Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Fuse Energy Supply or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Founding GPU Engineer 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 Fuse Energy Supply.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Fuse Energy Supply 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 Fuse Energy Supply
✨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 Fuse Energy Supply 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.