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NKI Kernel Optimization Specialist

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Onsite

NKI Kernel Optimization Specialist

Mercor

NKI Kernel Optimization Specialist

Skills

Machine LearningAIAWS

2 months ago

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Important information


Contract type:

Part time

Location:

United States

Work mode:

Onsite

Published on:

31 August 2026

What they need


About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Trainium (NKI) Kernel Expert

Type: Contract Compensation: $70–$90/hour Location: Remote Role Responsibilities

  • Evaluate the quality, correctness, and hardware-appropriateness of Neuron Kernel Interface (NKI) development tasks for training and evaluating AI models.
  • Assess CUDA→NKI migration fidelity and Trainium-specific performance-optimization quality.
  • Review cross-platform numerical-correctness standards and provide clear, rubric-based feedback.
  • Collaborate with AI research teams to ensure consistency and coverage across datasets.
  • Work independently and asynchronously to improve AI model performance.

Qualifications Must-Have

  • 2+ years of experience developing or optimizing kernels using NKI targeting AWS Trainium/Inferentia2 hardware.
  • Strong understanding of NKI-specific development patterns and memory-hierarchy management.
  • Experience assessing CUDA→NKI migration quality.
  • Familiarity with Trainium-specific performance profiling.
  • Experience defining or evaluating cross-platform numerical-correctness standards.

Preferred

  • Experience with AWS Neuron SDK, Neuron Compiler internals, or contributions to NKI kernel libraries.
  • Prior CUDA or Triton kernel development.
  • Familiarity with Trainium hardware specifications.
  • Experience benchmarking ML training workloads on Trn1/Trn2 instances.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,

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