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Confidential

NKI Kernel Developer for AI Model Evaluation

Cherryland, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Confidential lists this NKI Kernel Developer for AI Model Evaluation opportunity in Cherryland, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Role Overview

Evaluate Neuron Kernel Interface, NKI, development tasks used to train and assess advanced AI models. You will review CUDA-to-NKI migrations, Trainium-focused performance optimizations, and cross-platform numerical correctness, then deliver clear written feedback using defined rubrics.

Key Responsibilities

Assess NKI kernel-development tasks for quality, correctness, and suitability for AWS Trainium and Inferentia2 hardware.

Evaluate the fidelity of CUDA-to-NKI migrations.

Review Trainium-specific performance optimization quality.

Evaluate numerical-correctness standards across GPU and Trainium platforms.

Provide clear, rubric-based written feedback.

Qualifications

At least 2 years of hands-on experience developing or optimizing NKI kernels for AWS Trainium or Inferentia2 hardware.

Strong knowledge of tile-based computation, SBUF, PSUM, and HBM memory-hierarchy management, partition-dimension constraints, and DMA orchestration.

Experience evaluating CUDA-to-NKI migration quality.

Familiarity with Trainium performance profiling, including NeuronCore pipeline utilization, tensor-engine throughput, and memory-bandwidth bottlenecks.

Experience establishing or assessing cross-platform numerical-correctness standards, including GPU versus Trainium accumulation order, rounding behavior, and mixed-precision semantics.

Preferred Qualifications

Experience with the AWS Neuron SDK, Neuron Compiler internals, or NKI kernel-library contributions.

Prior CUDA or Triton kernel-development experience.

Familiarity with NeuronCore-v2 architecture, on-chip SRAM topology, and FP32, BF16, FP8, and INT8 data types.

Experience benchmarking machine-learning training workloads on Trn1 or Trn2 instances.

Work Terms

Remote role, open to candidates located in the United States.

Hourly engagement.

Compensation

$70 to $90 per hour.

Who can apply

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