Senior AI Kernel Engineer – CUDA/Triton Optimizer

Akraya, Inc.; Bellevue (WA); On-site; USD 117,000 - 124,000; Full time

Job summary

Akraya, Inc. is seeking an experienced kernel optimization engineer to develop and optimize low-level compute kernels for AI accelerators in Bellevue, WA.

You will ensure training environments reflect real-world kernel engineering challenges by writing, debugging, and tuning operators, while using profiling tools and accelerator interfaces to validate task realism. The role requires hands-on work with CUDA/Triton or NKI and strong coding skills, with a background in high-performance compute and

Qualifications

• 7+ years of relevant experience required.
• Experience with AWS Trainium/Inferentia and NKI.
• Hands-on proficiency with CUDA, Triton, or NKI.
• Familiarity with Neuron SDK, Neuron Profiler, and framework integration (PyTorch, JAX).
• Experience porting kernels between accelerator backends (e.g., CUDA/Triton to NKI).

Responsibilities

• Develop and optimize custom compute kernels for AI accelerators.
• Validate training environment tasks for realistic kernel development scenarios.
• Debug and profile kernel code to identify and resolve performance issues.
• Analyze kernel performance against hardware constraints and memory hierarchy.
• Consult with training environment teams on task realism and quality.

Skills

CUDA programming

Triton optimization

Profiling tools

Debugging kernels

Performance tuning

Education

Bachelor's degree in CS/CE/EE or equivalent

Tools

AWS Trainium/Inferentia

Neuron Kernel Interface (NKI)

Neuron SDK

Neuron Profiler

PyTorch

JAX

Job description

Akraya, Inc. is seeking an experienced kernel optimization engineer to develop and optimize low-level compute kernels for AI accelerators in Bellevue, WA.

You will ensure training environments reflect real-world kernel engineering challenges by writing, debugging, and tuning operators, while using profiling tools and accelerator interfaces to validate task realism. The role requires hands-on work with CUDA/Triton or NKI and strong coding skills, with a background in high-performance compute and