Sr Software Development Manager, Generative AI for Aws Neuron

Amazon Amazon · Big Tech · NY +1 · Software Development

This role is for a Senior Software Development Manager leading a team to build AI agents and tools that simplify and accelerate customer adoption of AWS Neuron, a software stack for Amazon's Machine Learning silicon (Trainium). The focus is on applying Generative AI to improve the process of porting and optimizing ML workloads on Neuron, involving collaboration with scientists, engineers, and customers.

What you'd actually do

  1. Collaborate with scientists, engineers, product managers and executive leadership to create the technical vision and roadmap for agents and tools used by internal and external Machine Learning developers.
  2. Serve as a technical lead on demanding, cross-functional projects critical to AWS's future success in the AI space..
  3. Deliver on ambitious goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron.
  4. Contribute intellectual property through patents.
  5. Hire and assist in the career development of your team members, actively mentoring individuals on advanced technical issues and their career growth.

Skills

Required

  • 10+ years of engineering experience
  • 5+ years of engineering team management experience
  • 10+ years of planning, designing, developing and delivering consumer software experience
  • Experience partnering with product or program management teams
  • Experience managing multiple concurrent programs, projects and development teams in an Agile environment
  • Experience in one or more of the following areas ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization. or alternatively applied math

Nice to have

  • Proven track record building AI agents that automate ML workload optimization
  • ML compiler tuning
  • Distributed inference and training
  • ML kernel authoring and optimization

What the JD emphasized

  • AI agents
  • ML compilers
  • production coding agents
  • GenAI model architecture
  • model training
  • neural network optimization
  • applied math
  • AI agents that automate ML workload optimization
  • ML compiler tuning
  • Distributed inference and training
  • ML kernel authoring and optimization

Other signals

  • Generative AI
  • Machine Learning silicon
  • agents
  • tools
  • customer adoption