• Degree (BSc, MSc or PhD) in Computer Science, Computer/Electrical Engineering or a similar field
• 5+ years in a performance-focused role, such as HPC, accelerator or GPU programming, compilers, embedded systems or processor optimisation
• Excellent C and C++
• Deep understanding of computer architecture: memory hierarchy, data movement, parallelism and throughput
• A track record of speeding up performance-critical maths or compute workloads
• Comfort profiling code, pinpointing bottlenecks and fixing them methodically
• A problem-solver who’s happy working across the hardware/software boundary

• Hands-on experience with low-level parallel or accelerated programming models
• Practical use of tiling, memory management, vectorisation, instruction-level tuning and concurrency
• Experience optimising numerical or ML workloads specifically
• Ability to reason about latency, bandwidth, utilisation and efficiency trade-offs
• Experience debugging tricky correctness, precision and performance issues

• CUDA, OpenCL or comparable parallel programming frameworks
• Exposure to compilers, code generation or kernel autotuning tools
• Familiarity with common ML, linear algebra or image processing operators
• Knowledge of low-precision and quantised number formats
• Experience with custom silicon, FPGAs, simulators, emulators or bring-up on real hardware
• Cross-team collaboration with architecture and infrastructure groups
• Mentoring others or setting up performance engineering best practice

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Veronica Gains