Requirements

• Strong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience
• Must have two or more years work experience building deep learning systems, for any domain: robotics, biology, chemistry, physics, audio, video, recommendations, etc.
• Experience translating methods between areas of application is highly valued
• LLM experience is valuable, but not necessary
• Finance experience is not required

Perks and Benefits

• Base salary range: 250,000 to 300,000 USD per year
• Eligible for discretionary performance-based bonuses
• Competitive benefits package