Sr. Software Engineer, Kernels/CUDA
Core
Design, build, and optimize massive GPU clusters for extreme-scale AI training and inference workloads.
Role type
Senior IC systems engineer (GPU kernels)
Builds
High-performance GPU clusters and optimized CUDA kernels for AI workloads
Domain
AI infrastructure / High-performance computing
Deliverable
production ML models
Required skills
C/C++ low-level systems programming, CUDA kernel development, CUTLASS, Tensor Cores, Nsight profiling, distributed compute infrastructure, memory hierarchy optimization, multi-GPU operations
Preferred skills
GeMM and attention kernel optimization, PTX/SASS experience, filesystem optimization, networking fabric tuning
Technologies
CUDA, CUTLASS, Nsight, Tensor Cores, PTX, SASS
Responsibilities
Develop and tune low-level CUDA kernels; Profile, debug, and eliminate bottlenecks across GPU memory hierarchy and networking fabric; Collaborate with AI research teams to deliver production-grade performance and scalability
Seniority
Senior, hands-on IC
