GPU Performance Engineer, CommonAI Compute
£70-130k
Cloud agnostic compute for AI made easy
Be an early applicant
Cloud agnostic compute for AI made easy
1-20 employees
Be an early applicant
£70-130k
1-20 employees
Company mission
A cloud-agnostic platform that gives simple, cost-effective access to AI accelerators
Role
Who you are
- Strong experience with GPU computing and performance analysis
- Hands-on experience running and interpreting AI benchmarks and workloads
- Proven background in performance optimization and profiling
- Solid understanding of the full stack, including: GPU architectures and memory hierarchies, Drivers, runtimes, and system software, AI frameworks and numerical libraries
- Strong coding and debugging skills (e.g., C/C++, Python, CUDA or similar)
- Experience using performance analysis and profiling tools
- Ability to reason about complex systems and explain performance behavior clearly
Desirable
- Experience with large-scale or distributed GPU systems
- Familiarity with scientific computing or HPC workloads
- Experience developing internal tooling or benchmarking frameworks
- Knowledge of modern AI workloads (training and inference) and model architectures
- Experience with Linux systems and low-level debugging
What the job involves
- We are seeking a GPU Performance Engineer to evaluate, analyze, and optimize performance across AI workloads and scientific computing applications. In this role, you will run and develop open-source AI benchmarks, build tooling to automate benchmarking and result collection, and deeply analyze performance results to identify and resolve bottlenecks across the full hardware and software stack
- This position is ideal for someone who enjoys low-level performance work, hands-on experimentation, and turning complex performance data into actionable insights
- Run, develop, and maintain open-source AI benchmarks (training and inference workloads) as well as custom AI and scientific computing workloads
- Design and implement benchmarking and automation tools to execute workloads, collect results, and ensure reproducibility
- Analyze and interpret performance data to identify compute, memory, communication, and I/O bottlenecks
- Perform performance optimization across models, kernels, libraries, and system configurations
- Troubleshoot performance issues across the full hardware/software stack, including GPUs, CPUs, interconnects, drivers, runtimes, and frameworks
- Collaborate with researchers, engineers, and systems teams to improve performance and efficiency
- Document findings and clearly communicate performance insights and recommendations
Application process
- We start with a 30 min screening call
- We then follow with a 45 minutes introductory call with Dr Rosemary Francis, our CTO
- Finally a 2 hour technical deep dive with the other team members
- During the hiring process we may ask you technical questions about any technologies or experience that you list on your CV. You will be expected to write short snippets of code to solve specific problems
- We work on many joint projects with our sister organization, CommonAI CIC. By applying for this role you give us permission to share your details with CommonAI CIC so that we may consider you for open roles across both organizations. If you prefer not to have your details shared with CommonAI CIC or would not like to be considered for other roles then please let us know when you apply. This will not affect your application for this role
Our take
Right now, many companies (especially smaller ones) are struggling to keep up with how fast AI is moving. The tech is changing so quickly that it's hard to know where to start, and even harder to build something meaningful without serious resources. This means that many great ideas and talented people are being left behind.
CommonAI Compute is stepping in to change that. It's a new kind of company, built around the idea that sharing knowledge and tools openly can help more businesses succeed with AI. It's still very early days for CommonAI Compute, but its focus on open source and community-driven development could be a major step forward, not just for how startups evolve, but for the future of innovation itself.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company HQ
Cambridge, UK
Leadership
Alongside CommonAI Compute, they are a Fellow at the Royal Academy of Engineering. Previously, they were the Chief Scientist of HPC and Cloud at Altair and Founder CEO of Ellexus.
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