Anyone AI is recruiting experienced AWS Trainium / Neuron Kernel Interface (NKI) engineers for a specialized project focused on evaluating and improving kernel development tasks for AI workloads.

We're looking for engineers with hands-on experience building or optimizing NKI kernels on AWS Trainium or Inferentia2 hardware who understand how Trainium's architecture differs from traditional GPU programming.

What You'll Work On

You’ll review and evaluate technical tasks involving:

- NKI kernel correctness and Trainium-specific development patterns
- CUDA to NKI kernel migrations
- Trainium performance optimization and benchmarking
- Memory management across SBUF, PSUM, and HBM
- Tile-based computation and DMA scheduling
- Cross-platform numerical correctness between CUDA/Triton and NKI




- Trainium-specific performance bottlenecks and optimization opportunities
- Technical feedback and quality assessment of kernel implementations

The work involves determining whether implementations are not only technically correct, but also idiomatic and optimized for Trainium hardware rather than simply translated from GPU-based approaches.

What We're Looking For

- 2+ years of hands-on experience developing or optimizing kernels with the Neuron Kernel Interface (NKI)
- Experience working with AWS Trainium and/or Inferentia2
- Strong understanding of:
- Tile-based computation
- SBUF / PSUM / HBM memory hierarchy
- Partition dimension constraints
- DMA orchestration

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📌 AWS Trainium / NKI Kernel Expert (Madrid)
🏢 Anyone AI
📍 Madrid