Senior Software Development Engineer, ML Compiler Infra

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

14 days+

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Benefits offered by this job

Health insurance
RSUs
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Job summary

Annapurna Labs, part of Amazon Web Services, is seeking a Senior Software Development Engineer to build the development infrastructure of a compiler for efficient cloud ML workloads. You will design scalable build/test/release systems and collaborate with compiler, hardware, and ML teams to enable optimal performance.

The role requires 5+ years of professional software development, architecture leadership, and full SDLC experience.

Qualifications

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming with at least one software programming language experience.
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
  • Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

  • Solve challenging technical problems, often ones not solved before, at every layer of the stack.
  • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
  • Build high-quality, highly available, always-on products.
  • Research implementations that deliver the best possible experiences for customers.
  • Collaborate with compiler, hardware, and ML engineers across teams.

Skills

Software development experience
Programming experience
Design/architecture leadership
Full SDLC
Mentor / tech lead

Education

Master's degree in computer science or equivalent

Job description

Annapurna Labs, part of Amazon Web Services, is seeking a Senior Software Development Engineer to build the development infrastructure of a compiler for efficient cloud ML workloads. You will design scalable build/test/release systems and collaborate with compiler, hardware, and ML teams to enable optimal performance.

The role requires 5+ years of professional software development, architecture leadership, and full SDLC experience.

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