layiq
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
Loading LAYIQ…Job opportunity
Amazon
Sunnyvale, CA; Seattle, WA; New York, NY
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
Are you the kind of engineer who obsesses over performance? Does the idea of hunting for hidden waste across the world's largest infrastructure and turning those findings into hundreds of millions of dollars in freed capacity sound like the most exciting job you can imagine? If so, keep reading.
This role offers something rare. Deep technical research freedom, immediate access to the largest compute infrastructure in the world, and direct line of sight to impact that reshapes how Amazon builds and operates its infrastructure. The Efficiency Red Team has already driven billions in cumulative capacity savings, reclaimed petabytes of DRAM through automated profiling, and built GPU efficiency frameworks adopted across Amazon. And we are just getting started.
The surface area of opportunity grows with every new workload, every new chip generation, and every new AI model Amazon deploys. You would be joining a team with a proven foundation and an expanding frontier.
Compute demand is rising with no sign of slowing down. The explosive growth of Generative AI has created unprecedented demand for GPUs, and the shock-waves are now constraining DRAM availability for traditional compute across the entire industry. Silicon, power, and physical space are not infinite. When capacity is constrained, efficiency becomes the new capacity. At Amazon's scale, a single efficiency pattern discovered and applied can unlock resources equivalent to building entirely new data centers.
A modest reduction in memory footprint across a widely deployed library translates into millions of dollars in freed capacity. An optimization that improves response latency by milliseconds across billions of requests directly improves the experience of hundreds of millions of customers and drives business growth.
We are looking for experienced performance engineers to join a focused group whose mission is discovering and eliminating waste across every layer of the compute stack. You will work at the intersection of hardware and software, from GPU memory management in generative AI inference pipelines to DRAM allocation patterns deep inside language runtime, from storage subsystem inefficiencies to CPU scheduling behaviors at hyper-scale.
The Efficiency Red Team is a small group of performance engineers who move fluidly across the entire compute stack. The same engineer might profile CPU cache behavior in a traditional workload one week and analyze token throughput in a GPU inference cluster the next. You will have the freedom to pursue deep technical research, choose your own investigations, and follow the data wherever it leads.
This is a founding opportunity to help shape the mission, methods, and culture of a team designed to be Amazon's center of excellence in performance engineering. Every pattern this team discovers feeds directly into detection and remediation tools that operate continuously across the fleet, turning individual insights into lasting, compounding impact.
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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted: