Founding GPU Engineer

Join Fuse Energy, a renewable energy startup on a mission to deliver a terawatt of renewable energy. As a Founding GPU Engineer, you will develop and optimize GPU-accelerated software for data center systems, focusing on performance engineering for large-scale compute clusters. Your work will be critical to scaling Fuse's compute infrastructure and reducing energy costs and carbon intensity.

• Design, implement, and optimise CUDA kernels for high-throughput, latency-sensitive workloads.
• Profile and tune GPU performance across compute, memory bandwidth, and interconnect (NVLink/PCIe) bottlenecks.
• Collaborate with ML/systems engineers to integrate custom kernels into training/inference pipelines.
• Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy)
• Experience with performance profiling tools (Nsight Systems/Compute)
• Strong grasp of memory optimisation, kernel fusion, and parallel algorithm design
• Familiarity with multi-GPU/multi-node scaling (NCCL, MPI, RDMA/InfiniBand)
• 4+ years of experience writing production CUDA code, or equivalent strong project/industry experience
• Comfortable working across the stack from low-level kernels to system-level infrastructure
• Proficiency in C++ and CUDA; experience with Python for tooling/orchestration
• Experience with Triton, cuDNN, cuBLAS, or custom ML inference/training frameworks
• Exposure to data center power/thermal management or demand-response systems
• Familiarity with Kubernetes/Slurm for GPU cluster orchestration
• Background in HPC, quantitative finance, or large-scale distributed systems
• Interest or experience in energy markets, grid systems, or sustainability-focused compute