Software Development Engineer

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

What you'd actually do

  1. Design, develop, and maintain efficient, reusable, and reliable code
  2. Implement complex software solutions that meet business requirements
  3. Collaborate with cross-functional teams to define, design, and ship new features
  4. Identify and resolve performance bottlenecks and bugs
  5. Participate in architecture and design reviews to provide technical guidance

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 3+ years of building complex software systems experience
  • 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • Bachelor's degree or equivalent

Nice to have

  • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
  • Knowledge of Python and/or C++ programming

What the JD emphasized

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 3+ years of building complex software systems experience
  • 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Other signals

  • AWS
  • SDE
  • AI/ML
  • Healthcare AI
  • ML frameworks
  • transformer architecture
  • training/inference lifecycles
  • optimization techniques