Senior ML Compiler Infra Engineer - Distributed

Amazon

Seattle, Northern (WA, KY)

Hybrid

USD 168,000 - 227,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Annapurna Labs is seeking a Senior Software Development Engineer to help advance the Neuron compiler infrastructure for AWS. You will design scalable build, test, and release mechanisms and drive distributed execution of the Neuron compiler to improve performance for large ML workloads.

You will work with cross-functional teams including compiler, hardware, and ML engineers to deliver high-quality, reliable software in a startup-like development environment.

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

  • 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 across diverse teams to have a firsthand impact on a global customer base.

Skills

Software development
Programming
Software architecture
SDLC
Mentorship

Education

Master's degree in computer science or equivalent

Job description

Amazon Annapurna Labs is seeking a Senior Software Development Engineer to help advance the Neuron compiler infrastructure for AWS. You will design scalable build, test, and release mechanisms and drive distributed execution of the Neuron compiler to improve performance for large ML workloads.

You will work with cross-functional teams including compiler, hardware, and ML engineers to deliver high-quality, reliable software in a startup-like development environment.

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