Senior Inference & GPU Kernel Engineer — Equity

Touchdown Labs; Santa Clara (CA); On-site; USD 200,000 - 270,000; Full time

Job summary

Touchdown Labs is hiring an Inference & GPU Kernel Engineer in Santa Clara, CA to accelerate customer models with faster, cheaper outputs. You’ll profile workloads, identify bottlenecks, and optimize serving configurations, including GPU kernels when gains justify them.

You should bring deep GPU programming experience, strong proficiency in C++ and Python, and hands-on work with CUDA, Triton, or HIP. Knowledge of NVIDIA/AMD accelerators and benchmarking discipline is highly valued.

Qualifications

• Profiling and bottleneck analysis of AI workloads.
• Serving configuration and optimization for inference deployments.
• Experience writing or tuning GPU kernels when beneficial.
• Evidence of improved inference or training performance with profilers.

Responsibilities

• Profile customer workloads and identify bottlenecks.
• Implement serving configuration optimizations.
• Develop GPU kernels when gains justify them.

Skills

GPU programming

Profiling

C++

Python

Tools

CUDA

Triton

HIP

Job description

Touchdown Labs is hiring an Inference & GPU Kernel Engineer in Santa Clara, CA to accelerate customer models with faster, cheaper outputs. You’ll profile workloads, identify bottlenecks, and optimize serving configurations, including GPU kernels when gains justify them.

You should bring deep GPU programming experience, strong proficiency in C++ and Python, and hands-on work with CUDA, Triton, or HIP. Knowledge of NVIDIA/AMD accelerators and benchmarking discipline is highly valued.