Founding GPU Engineer

Fuse Energy
London
Workplace: RemoteFull timeFunction: Entrepreneurship & Venture BuildingExperience: 4+ yearsSkills: []

Develop and optimize GPU-accelerated software for data center systems at the energy/AI intersection. You’ll design CUDA kernels, profile and tune performance across compute, memory, and interconnect bottlenecks, and build tooling to connect GPU utilization and power draw to real-time energy and grid signals. Work with ML and systems teams to integrate kernels into inference/training pipelines and improve multi-GPU, multi-node scaling and benchmarking against CPU/GPU baselines.

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FursaFursa
Fuse Energy
Fuse Energy
1 month ago

Founding GPU Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop and optimize GPU-accelerated software for data center systems at the energy/AI intersection. You’ll design CUDA kernels, profile and tune performance across compute, memory, and interconnect bottlenecks, and build tooling to connect GPU utilization and power draw to real-time energy and grid signals. Work with ML and systems teams to integrate kernels into inference/training pipelines and improve multi-GPU, multi-node scaling and benchmarking against CPU/GPU baselines.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Entrepreneurship & Venture Building
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and optimize CUDA kernels for high-throughput, latency-sensitive workloads.
  • •Profile and tune GPU performance across compute, memory bandwidth, and NVLink/PCIe bottlenecks.
  • •Build tooling to correlate GPU cluster power draw and utilization with real-time energy pricing and grid signals.
  • •Optimize multi-GPU and multi-node scaling using NCCL, MPI, or similar communication libraries.
  • •Collaborate with data center infrastructure and ML/systems teams on power capping, dynamic voltage/frequency scaling, workload scheduling, and integrating custom kernels into pipelines.

Pay and Benefits

Perks:EquityAnnual BonusExpense TechBreakfast AllowanceDinner Allowance

Key Requirements

  • •4+ years of experience writing production CUDA code (or equivalent strong project/industry experience).
  • •Deep understanding of GPU architecture, including SMs, warps, memory hierarchy, and occupancy.
  • •Proficiency in C++ and CUDA, with experience using Python for tooling and orchestration.
  • •Experience with performance profiling tools such as Nsight Systems/Compute.
  • •Familiarity with multi-GPU/multi-node scaling using NCCL, MPI, and/or RDMA/InfiniBand.
Experience:4+ yearsGPU computingHPCData centersDistributed systems
Tech Stack:CUDAC++PythonNVLinkPCIeNCCLMPIRDMAInfiniBandNsight SystemsNsight ComputeTritonCuDNNCuBLASKubernetesSlurm

Company Brief

Fuse Energy
Develops and delivers renewable energy solutions, focusing on clean power projects and services to enable decarbonization and grid flexibility for commercial and utility customers.
Industry: Renewable Energy
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