Trainium Kernel Expert - Fully Remote | Upto $90/hr

🏢 mercor · all mercor jobs
📍 United States
📅 Posted 2026-08-29 · via Himalayas
🏷 Kernel-Development,AI-Hardware-Engineering,Machine-Learning-Infrastructure,AWS-Trainium-Specialist,Performance-Engineering,AI-ML-Kernel-Engineer,Trainium-Kernel-Engineer,Machine-Learning-Systems-Engineer
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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

- For details about the interview process and platform information, please check:

- For any help or support, reach out to:

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

Originally posted on Himalayas

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