Software Development Engineer, Alexa Audio, Alexa Audio

Amazon Amazon · Big Tech · IN, TN +1 · Software Development

Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, with responsibilities including designing and delivering software, creating infrastructure for LLMs, evaluating and improving model accuracy, reducing latency, and influencing operational excellence. The role involves collaboration with product management and design, and mentoring junior engineers.

What you'd actually do

  1. Design, implement, and deliver software in ambiguous and complex problem spaces of Alexa Audio working with partners such as product managers, technical program managers, and senior/principal engineers to deliver on the business goals related to Audio Experience.
  2. Create infrastructure to bring the power of LLMs into the Audio space while championing best practices for software engineering and operational excellence.
  3. Create tools and software to evaluate, analyze, and improve the model accuracy for various Audio experiences, while reducing latency and customer friction.
  4. Influence the operational and engineering excellence roadmap across core audio services set by the lead SDEs to proactively address peak readiness, hardware efficiency, scaling, throttling and improve availability & resiliency for Alexa Audio Services.
  5. Provide valuable design feedback around latency considerations, two-way door decisions and valuable coding feedback around coding standards, quality, versioning to both internal and external away teams, guide them on best practices for developing within Audio owned services and push back on proposals which do not adhere to our high quality standards.

Skills

Required

  • software development
  • design patterns
  • reliability
  • scaling
  • programming languages

Nice to have

  • full software development life cycle
  • coding standards
  • code reviews
  • source control management
  • build processes

What the JD emphasized

  • complex problem spaces
  • ambiguous
  • reduce latency
  • improve model accuracy
  • operational excellence
  • engineering excellence

Other signals

  • integrating LLMs into audio experiences
  • evaluating and improving model accuracy
  • reducing latency and customer friction