• Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc)
• Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems)
• Experience with ML frameworks (Torch, JAX)
• Experience with GPU programming (CUDA, Triton)
• Experience with High-Performance Computing (OpenMPI)
• Internship program: 13 weeks, full-time or part-time, in-person in London office (hybrid schedule: 3 days from the office, 2 days WFH)