Software Development Engineer, Aws

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

This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure.

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

  • Artificial Intelligence/Machine Learning
  • Healthcare AI
  • 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

  • AI/ML is a specialization within a broader SDE role
  • focus on building and maintaining code for AI/ML systems
  • collaboration with cross-functional teams