AI Kernel Engineer

A well-funded AI systems company is looking for engineers passionate about performance optimisation across next-generation AI hardware. The team partners with leading semiconductor companies, server manufacturers and cloud providers to maximise the performance and efficiency of modern AI systems.

This is an opportunity to work on cutting-edge accelerator architectures, solving complex performance problems long before hardware reaches production.

You’ll focus on optimising AI workloads across the hardware and software stack, developing low-level kernels and improving the performance of modern machine learning systems.

Working closely with a highly technical team, you’ll analyse AI models, profile workloads, identify bottlenecks and implement optimisations that deliver measurable improvements in throughput, latency and efficiency.

Responsibilities

• Optimise compute-intensive AI workloads across GPUs, AI accelerators and emerging hardware
• Develop and tune low-level kernels for machine learning applications
• Profile, benchmark and analyse system performance using industry-standard tools
• Identify performance bottlenecks across hardware and software layers
• Work with customers and engineering teams to deliver performance improvements
• Contribute to AI benchmarking and performance evaluation initiatives
• Explore new approaches to accelerator programming and AI-assisted optimisation

Background

• Degree in Computer Science, Computer Engineering, Mathematics, Physics or a related technical discipline
• Experience optimising workloads on GPUs, AI accelerators, FPGAs or other high-performance hardware
• Strong understanding of performance analysis, profiling and benchmarking
• Experience with profiling, debugging and performance analysis tools
• Background in inference optimisation or performance-critical AI systems
• Strong C++ and/or Python programming skills
• Excellent communication skills with the ability to work in a collaborative, research-focused environment

Please contact Harry Hansford for more information.