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Amazon
Seattle, WA
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
Join our EC2 Nitro Machine Learning Systems team to lead a pivotal performance engineering group at the intersection of state of the art ML research and production-scale infrastructure. You'll build and manage a team focused on establishing EC2 as the definitive source for ML performance optimization across diverse workloads including LLMs, multimodal models, and next-generation AI applications.
Your work will directly influence product management, marketing, and executive decision-making by delivering comprehensive performance data and best practices for AWS's accelerated computing platforms.
This role spans the full ML systems stack—from low-level CUDA optimization and accelerator firmware through frameworks to serving layers—requiring both technical depth and strategic vision. You'll translate performance insights into platform design recommendations that shape future AWS hardware, while simultaneously establishing foundational benchmarking infrastructure that scales with rapidly evolving customer demands.
The EC2 Nitro Machine Learning Systems team is responsible for development, operations, and maintenance of scale-out machine learning platforms used for training and inference workloads. We build and optimize the infrastructure that powers some of the most computationally intensive AI/ML workloads in the cloud. Our team is passionate about creating reliable, high-performance systems that enable customers to push the boundaries of what's possible with machine learning.
Working with us means having the opportunity to influence the future of supercomputing in the cloud while solving complex technical challenges at massive scale. We collaborate closely with customers and internal teams to continuously improve our platforms and deliver innovations that accelerate machine learning workflows.
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
Experience partnering with product or program management teams
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 - 184,900.00 - 250,200.00 USD annually
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