Founding GPU Engineer at Fuse Energy | GBR | Rezi

Founding GPU Engineer at Fuse Energy

Founding GPU Engineer

Fuse Energy · GBR

1 weeks ago

Founding GPU Engineer

Fuse Energy · GBR

9 days ago
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About the Role

Fuse Energy is seeking a Founding GPU Engineer to develop and optimize GPU-accelerated software for data center systems. This role involves low-level performance engineering for large-scale compute clusters, focusing on the software layer that connects GPU workload behavior to energy availability and grid demand.

Responsibilities

  • Design, implement, and optimize CUDA kernels for high-throughput, latency-sensitive workloads.
  • Profile and tune GPU performance across compute, memory bandwidth, and interconnect 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.
  • Work with data center infrastructure teams on power capping, dynamic voltage/frequency scaling, and workload scheduling strategies.
  • Collaborate with ML/systems engineers to integrate custom kernels into training/inference pipelines.
  • Benchmark against CPU/GPU baselines and drive continuous performance improvements.
  • Contribute to internal libraries, documentation, and best practices for GPU performance engineering.

Requirements

  • 4+ years of experience writing production CUDA code, or equivalent strong project/industry experience.
  • Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy).
  • Proficiency in C++ and CUDA; experience with Python for tooling/orchestration.
  • Experience with performance profiling tools (Nsight Systems/Compute).
  • Familiarity with multi-GPU/multi-node scaling (NCCL, MPI, RDMA/InfiniBand).
  • Strong grasp of memory optimization, kernel fusion, and parallel algorithm design.
  • Comfortable working across the stack from low-level kernels to system-level infrastructure.

Skills

  • CUDA
  • C++
  • Python
  • Nsight Systems/Compute
  • NCCL
  • MPI
  • RDMA/InfiniBand
  • GPU architecture
  • Memory optimization
  • Kernel fusion
  • Parallel algorithm design
  • Triton
  • cuDNN
  • cuBLAS
  • Kubernetes
  • Slurm

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • 4+ years

Salary/Compensations

  • Competitive salary
  • Equity sign-on bonus

Benefits

  • Biannual bonus scheme
  • Fully expensed tech
  • Breakfast and dinner allowance for office based employees

About the Company

  • Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast.
  • We're combining first-principles thinking with cutting-edge technology to build a radically better energy system.
  • We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
  • As data centers become one of the largest and fastest-growing sources of electricity demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI - optimising how power-dense GPU workloads are scheduled, cooled, and balanced against grid conditions in real time.