Founding GPU Engineer (AI)

Location: Remote, with locations listed as London, England, United Kingdom and United States

Company

hirify.global is an energy startup building an integrated energy system spanning renewable generation, batteries, grid infrastructure, real-time power trading, distributed energy, and AI-enabled compute infrastructure.

What you will do

• Design, implement, and optimise CUDA kernels for high-throughput, latency-sensitive workloads.
• Profile GPU compute, memory bandwidth, and NVLink/PCIe interconnect performance.
• 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 with NCCL, MPI, RDMA, or InfiniBand.
• Collaborate with data centre infrastructure, ML, and systems engineers on power capping, workload scheduling, and custom kernel integration.
• Benchmark CPU/GPU performance and contribute to internal libraries, documentation, and GPU engineering practices.

Requirements

• 4+ years of production CUDA development or equivalent strong project or industry experience.
• Deep understanding of GPU architecture, including SMs, warps, memory hierarchy, and occupancy.
• Proficiency in C++ and CUDA, plus Python for tooling and orchestration.
• Experience with Nsight Systems or Nsight Compute.
• Experience with multi-GPU and multi-node scaling, including NCCL, MPI, RDMA, or InfiniBand.
• Strong knowledge of memory optimisation, kernel fusion, parallel algorithm design, and system-level infrastructure.

Nice to have

• Experience with Triton, cuDNN, cuBLAS, or custom ML training and inference frameworks.
• Experience with data centre power or thermal management, demand-response systems, HPC, quantitative finance, or distributed systems.
• Experience with Kubernetes or Slurm for GPU cluster orchestration.
• Interest in energy markets, grid systems, or sustainability-focused compute.

Culture & Benefits

• Competitive salary with equity eligibility.
• Biannual bonus scheme.
• Fully expensed technology matched to work needs.
• Private health insurance.
• Breakfast and dinner allowance for office-based employees.
• Benefits vary by location as the company hires globally.