Lead ML Profiling & Optimization Tools Engineer

Amazon

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
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking a senior software leader to drive the Neuron Core Tools team, delivering profiling and optimization tools for the Neuron ML accelerators fleet. You will partner with hardware and software groups to ensure fast, reliable performance profiling for large ML workloads.

The position emphasizes mentorship, architectural leadership and delivering scalable tooling that speeds kernel development and tuning across AWS ML workloads. Uplifting career growth is supported.

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

  • Provide technical leadership to the Neuron Core Tools team
  • Work closely with the frameworks and compiler teams.
  • Collect requirements from various other teams including training, inference and runtime.
  • Collaborate with the compiler performance team to ensure timely release of the core performance tools.
  • Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute.

Job description

Amazon is seeking a senior software leader to drive the Neuron Core Tools team, delivering profiling and optimization tools for the Neuron ML accelerators fleet. You will partner with hardware and software groups to ensure fast, reliable performance profiling for large ML workloads.

The position emphasizes mentorship, architectural leadership and delivering scalable tooling that speeds kernel development and tuning across AWS ML workloads. Uplifting career growth is supported.

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