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Amazon is seeking a seasoned engineering leader to own an at-scale ML compute platform. You will set multi-year strategy and lead 3–5 managers and ~40–50 engineers across hardware bring-up, firmware, cluster management, and application software.
You will collaborate with silicon partners (NVIDIA, Annapurna) and AWS ML teams to align roadmaps, drive execution, and influence cross-organizational priorities. A strong Linux and systems software background is essential.
EC2 Nitro drives the planet's largest, fastest growing, and most feature-rich compute cloud, and EC2 Machine Learning Systems (MLS) is where that platform meets the most demanding AI workloads on Earth. We build and scale the compute platforms behind AWS's largest ML training and inference clusters -- integrating custom hardware, firmware, systems software, and services to turn AI accelerators (NVIDIA GB200/GB300/VeraRubin-class UltraServer/UltraCluster) into reliable, high-performance capacity for customers ranging from startups to the largest AI labs in the world.
We are looking for a seasoned engineering leader to own an existing, at-scale ML compute platform and to set and drive its multi-year technical strategy. As a Senior Manager leading a team of 3-5 managers and roughly 40-50 engineers, you will be responsible for the health, velocity, and long-term direction of an organization that spans hardware bring-up, firmware, cluster management, and application software. You will define where the platform needs to be several years out, make the architectural and investment bets that get us there, and build the org -- leaders, senior engineers, and mechanisms -- capable of delivering it.
In this role, you will operate at the intersection of a broad and deep set of technical teams. You will partner at a senior level with silicon and hardware partners (Annapurna and NVIDIA) to co-design and bring up NVIDIA GB200/GB300 platforms and UltraServer/UltraCluster systems, and with science, ML framework, and other AWS service organizations to remove ambiguity, align roadmaps, and land capabilities that no single team could deliver alone. You will be measured not only on what your organization ships, but on the clarity of the technical strategy you set and your ability to influence direction well beyond your immediate teams.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually