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 OnYou'll review and evaluate technical tasks involving:NKI kernel correctness and Trainium-specific development patternsCUDA → NKI kernel migrationsTrainium performance optimization and benchmarkingMemory management across SBUF, PSUM, and HBMTile-based computation and DMA schedulingCross-platform numerical correctness between CUDA/Triton and NKITrainium-specific performance bottlenecks and optimization opportunitiesTechnical feedback and quality assessment of kernel implementationsThe 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 For2+ years of hands‐on experience developing or optimizing kernels with the Neuron Kernel Interface (NKI)Experience working with AWS Trainium and/or Inferentia2Strong understanding of:Tile-based computationSBUF / PSUM / HBM memory hierarchyPartition dimension constraintsDMA orchestrationTrainium-specific optimization techniquesAbility to evaluate CUDA → NKI migrationsExperience profiling and optimizing workloads on TrainiumUnderstanding of numerical differences across GPU and Trainium backendsStrong ability to analyze complex technical implementations and provide clear written feedbackNice to HaveExperience with the AWS Neuron SDK or Neuron CompilerCUDA or Triton kernel development experienceKnowledge of NeuronCore-v2 architectureExperience with FP32, BF16, FP8, and INT8 workloadsExperience benchmarking workloads on Trn1 or Trn2 instancesFamiliarity with nki.language, @nki.jit, or XLA custom callsExperience with technical evaluation, AI/ML data projects, RLHF, or rubric-based assessmentEngagementWork Type: RemoteEngagement: Part‐time, project‐based consultingFocus: AWS Trainium / NKI kernel engineering and technical evaluationThis is a strong fit for engineers who have worked deeply with AWS Trainium infrastructure and low‐level ML kernel optimization and are interested in applying that expertise to technically challenging AI projects.
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📌 Aws Trainium / Nki Kernel Expert (Rincón de los Sauces)
🏢 Anyone AI
📍 Rincón de los Sauces