Software Development Engineer, Alexa Audio

Amazon Amazon · Big Tech · CA, BC +1 · Software Development

Software Development Engineer role focused on integrating Generative AI and LLM capabilities into Alexa's audio experiences. The role involves designing and implementing software, creating infrastructure for LLMs in audio, developing tools to evaluate and improve model accuracy, reducing latency, and influencing operational excellence for audio services. It also includes mentoring junior engineers and contributing to hiring efforts.

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

  • 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
  • Experience programming with at least one software programming language

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • complex problem spaces
  • ambiguous
  • complex technical problems
  • state of the art products
  • innovating on behalf of customers
  • independent technical ownership
  • new customer features
  • scalable API platforms
  • Generative AI
  • LLM capabilities
  • Audio experiences
  • model accuracy
  • reducing latency
  • customer friction
  • operational excellence
  • peak readiness
  • hardware efficiency
  • scaling
  • throttling
  • availability & resiliency
  • latency considerations
  • high quality standards

Other signals

  • Generative AI and LLM capabilities
  • LLMs into the Audio space
  • evaluate, analyze, and improve the model accuracy
  • reducing latency
  • scalable API platforms interfacing with Generative AI