Founding GPU Engineer (AI)

Location: Remote; London, England, United Kingdom or the 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-powered high-performance compute infrastructure.

What you will do

• Design, implement, and optimize CUDA kernels for high-throughput, latency-sensitive workloads.
• Profile GPU performance across compute, memory bandwidth, and NVLink/PCIe interconnect bottlenecks.
• Build tools connecting GPU cluster power draw and utilization with real-time energy pricing and grid signals.
• Optimize multi-GPU and multi-node scaling with NCCL, MPI, RDMA, and InfiniBand.
• Collaborate on power capping, dynamic voltage/frequency scaling, and energy-aware workload scheduling.
• Integrate custom kernels into ML training and inference pipelines and contribute to internal GPU performance libraries and best 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, with Python experience for tooling and orchestration.
• Experience with Nsight Systems or Nsight Compute and familiarity with multi-GPU or multi-node scaling.
• Strong knowledge of memory optimization, kernel fusion, and parallel algorithm design.
• Ability to work across low-level kernels and system-level infrastructure.

Nice to have

• Experience with Triton, cuDNN, cuBLAS, or custom ML training and inference frameworks.
• Knowledge of data center power and thermal management or demand-response systems.
• Background in HPC, quantitative finance, large-scale distributed systems, Kubernetes, or Slurm.
• Interest in energy markets, grid systems, or sustainability-focused compute.

Culture & Benefits

• Remote work with benefits varying by location.
• Competitive salary with equity eligibility and a biannual bonus scheme.
• Fully funded technology and equipment matched to role requirements.
• Private health insurance.
• Breakfast and dinner allowance for office-based employees.