Staff GPU Kernel & Performance Engineer

Gimlet Labs, Inc.; San Francisco (CA); On-site; USD 150,000 - 350,000; Full time

Job summary

Gimlet Labs, Inc. is seeking a Member of Technical Staff focused on optimizing GPU and accelerator kernels for AI workloads. This role involves analyzing and tuning performance across diverse execution platforms and collaborating with compilers to ensure clean integration. Ideal candidates possess a strong foundation in software engineering and experience with performance-critical systems. Compensation ranges from $150K to $350K, reflecting the market demand for expertise in GPU execution and performance optimization.

Qualifications

• Strong software engineering fundamentals.
• Experience working on performance-critical systems close to hardware.
• Comfort reasoning about low-level execution behavior, memory hierarchies, and performance tradeoffs.

Responsibilities

• Design, implement, and optimize GPU and accelerator kernels for AI workloads.
• Analyze and tune performance across the GPU execution stack.
• Work with compilers and runtimes to ensure kernels integrate cleanly.

Skills

Software engineering fundamentals

Performance-critical systems

Low-level execution behavior

Memory hierarchies

Performance tradeoffs

Tools

CUDA

Triton

CUTLASS

Profiling tools

Job description

Gimlet Labs, Inc. is seeking a Member of Technical Staff focused on optimizing GPU and accelerator kernels for AI workloads. This role involves analyzing and tuning performance across diverse execution platforms and collaborating with compilers to ensure clean integration. Ideal candidates possess a strong foundation in software engineering and experience with performance-critical systems. Compensation ranges from $150K to $350K, reflecting the market demand for expertise in GPU execution and performance optimization.