✦ Luna Orbit — AI & Machine Learning

Software Development Engineer, Neuron Foundation Tools

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 13, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

Join AWS as an AI/ML Engineer focusing on performance profiling tools for AI accelerators, optimizing ML workloads, and developing high-performance system tools.

  • Develop performance profiling tools
  • Optimize ML workloads
  • Collaborate on system performance analysis
  • Work with AI accelerators
  • Improve system bottleneck detection

Work with C++, PyTorch, TensorFlow, and XLA to develop profiling and performance analysis tools for AI hardware accelerators, improving system efficiency and workload performance.

The ideal candidate is a mid-level AI/ML engineer with 3+ years experience in performance analysis and profiling, proficient in C++ and ML frameworks like PyTorch and TensorFlow. They are innovative problem-solvers focused on optimizing AI workloads on hardware accelerators.

Experience with ML profiling toolsExperience with AI/ML performance analysisExperience with C++ developmentExperience with ML frameworks like PyTorchTensorFlow
Experience with ML acceleratorsExperience with performance bottleneck analysisExperience with customer-facing tools
PyTorchTensorFlowXLAC++
C++PyTorchTensorFlowXLAML frameworksPerformance profilingAI acceleratorsNeural networksML workloadsSystem optimization
C++PyTorchTensorFlowXLAML frameworksPerformance profilingAI acceleratorsNeural networksML workloadsSystem optimization
collaborationproblem-solvinginnovationcustomer focusteamwork
Industry Technology/Cloud/AI
Job Function AI/ML performance analysis and system optimization for hardware accelerators
C++PyTorchTensorFlowXLAML frameworksPerformance profilingAI acceleratorsNeural networksML workloadsSystem optimization

Lack of experience with ML profiling tools, No experience with C++ or ML frameworks, Insufficient background in performance analysis

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