Software Engineer - Kernels/CUDA (C++)

📋 Description

• Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads
• Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and
• Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric
• Collaborate closely with AI research teams to deliver production-grade performance and scalability

🎯 Requirements

• Deep low-level systems programming (C/C++/PTX/SASS)
• Strong experience with large-scale GPU clusters or distributed compute infrastructure at production
• Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling)
• Track record of building or running high-performance infrastructure for AI workloads (training or
• Ability to reason from first principles and optimize for both memory-bound and compute-bound

🎁 Benefits

• $180,000 - $440,000 USD
• Equity, comprehensive medical, vision, and dental coverage
• 401(k) retirement plan access
• Short and long-term disability insurance, life insurance, and other perks