Founding GPU Engineer

• Design, implement, and optimise 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 with real-time energy pricing and grid signals.
• Optimise multi-GPU and multi-node scaling using NCCL, MPI, or similar libraries.

This role directly enables Fuse Energy to build high-performance compute infrastructure that optimizes GPU workloads for energy efficiency and grid responsiveness, accelerating the transition to renewable energy and reducing carbon intensity.

• 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).

• Competitive salary and equity sign-on bonus.
• Biannual bonus scheme.
• Fully expensed tech to match your needs.
• Breakfast and dinner allowance for office-based employees.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy fast, combining first-principles thinking with cutting-edge technology to build a radically better energy system.