Founding GPU Engineer
Fuse Energy
Posted
Jul 23, 2026
Location
Remote (UK)
Type
Full-time
Mission
What you will drive
- 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.
Impact
The difference you'll make
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.
Profile
What makes you a great fit
- 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).
Benefits
What's in it for you
- 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.
About
Inside Fuse Energy
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.