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AI Training · hourly
Trainium (NKI) Kernel Expert
Evaluate the quality, correctness, and hardware appropriateness of Neuron Kernel Interface (NKI) development tasks used to train and evaluate a frontier AI lab's models. You'll assess CUDA→NKI migration fidelity, Trainium specific performance optimization quality, and cross platform numerical correctness standards —…
PLATFORMMercor
LOCATIONRemote — United States
PAY$70–$90/hr
SCHEDULE40 hrs/week
LAST CHECKED11 Nov 2026
THE OPPORTUNITY
Put your skills to work.
Evaluate the quality, correctness, and hardware appropriateness of Neuron Kernel Interface (NKI) development tasks used to train and evaluate a frontier AI lab's models. You'll assess CUDA→NKI migration fidelity, Trainium specific performance optimization quality, and cross platform numerical correctness standards —…
- Commitment
- hourly
- Hours per week
- 40
- Field
- Software Engineering
- Open slots
- 3
- Eligible countries
- USA
Evaluate the quality, correctness, and hardware-appropriateness of Neuron Kernel Interface (NKI) development tasks used to train and evaluate a frontier AI lab's models. You'll assess CUDA→NKI migration fidelity, Trainium-specific performance-optimization quality, and cross-platform numerical-correctness standards — and provide clear, rubric-based written feedback.
Basic Qualifications
Preferred Qualifications
- 2+ years of hands-on experience developing or optimizing kernels using the Neuron Kernel Interface (NKI) targeting AWS Trainium/Inferentia2 hardware
- Strong understanding of NKI-specific development patterns: tile-based computation, SBUF/PSUM/HBM memory-hierarchy management, partition-dimension constraints, and DMA orchestration
- Demonstrated experience assessing CUDA→NKI migration quality
- Familiarity with Trainium-specific performance profiling (NeuronCore pipeline utilization, tensor-engine throughput, memory-bandwidth bottlenecks)
- Experience defining or evaluating cross-platform numerical-correctness standards (GPU vs Trainium accumulation order, rounding behavior, mixed-precision semantics)
- Direct 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 (NeuronCore-v2 architecture, on-chip SRAM topology, supported data types: FP32/BF16/FP8/INT8)
- Experience benchmarking ML training workloads on Trn1/Trn2 instances
Role details are copied from the Mercor listing and can change. Check the platform before you apply.
Relevant skills
Software EngineeringTrainium Kernel ExpertRemote collaboration
A few things to check
- Location and experience requirements.
- Schedule, compensation, and assessment process.
- Current availability on Mercor.
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