Software Engineer Kernels CUDA C++

You will design, build, and optimize GPU clusters for training and inference. You will develop CUDA kernels, profile and remove bottlenecks across GPU memory, networking, filesystems, and multi-GPU operations, and deliver production-grade performance and scalability with research teams.

Responsibilities

• Design, build, and optimize GPU clusters for training and inference workloads
• Develop and tune low-level CUDA kernels
• Profile, debug, and eliminate bottlenecks across GPU memory, networking, filesystems, and multi-GPU operations
• Collaborate with AI research teams to deliver production-grade performance and scalability

Requirements

• Low-level systems programming knowledge in C, C++, PTX, or SASS
• Experience with large-scale GPU clusters or distributed compute infrastructure
• Experience with GPU kernel optimization using CUTLASS, custom kernels, or Nsight profiling
• Experience building or running high-performance infrastructure for AI training or inference workloads
• Ability to optimize memory-bound and compute-bound scenarios

Benefits

• Equity
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k) retirement plan
• Short-term disability insurance
• Long-term disability insurance
• Life insurance
• Discounts and perks