Senior Manager, AI Compute Platform & ML Systems

Amazon Web Services (AWS); Seattle (WA); On-site; USD 220,000 - 298,000; Full time

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