Senior Manager, AI Compute Platform & ML Systems

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 220,000 - 298,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching

Job summary

Amazon Development Center U.S., Inc. in Seattle, WA is seeking a seasoned engineering leader to own an at-scale ML compute platform and set its multi-year technical strategy.

You will lead 3–5 managers and a team of roughly 40–50 engineers, overseeing hardware bring-up, firmware, cluster management and application software. You will partner with silicon/hardware teams (NVIDIA, Annapurna) and AWS ML teams to align roadmaps and deliver capabilities across organizations, measuring success by

Qualifications

  • 10+ years of engineering experience.
  • 5+ years of engineering team management experience.
  • 10+ years of planning, designing, developing and delivering consumer software experience.
  • Experience partnering with product or program management teams.
  • Experience managing multiple concurrent programs in an Agile environment.

Responsibilities

  • Own an existing at-scale ML compute platform and drive its multi-year technical strategy.
  • Lead a team of 3–5 managers and ~40–50 engineers, shaping health, velocity and long-term direction.
  • Collaborate with silicon/hardware partners (Annapurna and NVIDIA) to co-design and bring up platforms and systems.
  • Work with ML frameworks and AWS service teams to remove ambiguity and align roadmaps.

Skills

Linux systems software
C/C++/Rust
operational excellence
ML frameworks & cluster management
strategic leadership
hardware collaboration

Job description

Amazon Development Center U.S., Inc. in Seattle, WA is seeking a seasoned engineering leader to own an at-scale ML compute platform and set its multi-year technical strategy.

You will lead 3–5 managers and a team of roughly 40–50 engineers, overseeing hardware bring-up, firmware, cluster management and application software. You will partner with silicon/hardware teams (NVIDIA, Annapurna) and AWS ML teams to align roadmaps and deliver capabilities across organizations, measuring success by

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