The Hardware Engineering AI/ML UltraServer platform team is a group of engineers and technical program managers directly responsible for launching GPU-accelerated servers into the AWS fleet. Located in Seattle, Austin, and Cupertino, we collaborate with global development teams and ODM partners to deliver next-generation AI/ML infrastructure deployed in datacenters worldwide. We move fast with small, empowered teams delivering end-to-end — from server conception through fleet-scale operations.
- 7+ years of equivalent experience
- Experience in developing functional specifications, design verification plans and functional test procedures
- Experience in server technologies such as, thermal, mechanical, power, and signal integrity
- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent
- 5+ years of Design/Innovation, research & development, manufacturing, process, industrial engineering, or related experience
- Experience leading process improvement, systems development, and project management
- Experience in English-language communication skills, both written and verbal
- In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, GPU, SSDs, memory), BIOS, BMC, and networking
- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
- Experience leading engineering teams as a mentor or tech lead, or experience with general troubleshooting/debugging of hardware
- 7+ years of new hardware product development experience, e.g. server, storage, networking, or large-scale distributed systems experience
- In-depth expertise in one or more server technologies: thermal/mechanical design, high-speed bus design and signal integrity, failure analysis, server components (CPU, GPU, SSDs, memory), BIOS, BMC, and networking
- Experience developing and executing test procedures for mechanical or electrical systems/components
- Experience working with ODMs/manufacturer through the product development and manufacturing lifecycle
- Experience building predictive failure detection or proactive remediation systems at fleet scale
- Experience with storage/compute/GPU/accelerator platforms including integration, diagnostics, or performance validation
- Familiarity with PCIe topology, NVLink, NVMe, and accelerator interconnects
- Experience with large-scale datacenter or cloud environments
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Cupertino – 183,000.00 - 247,600.00 USD annually
USA, WA, Seattle – 159,200.00 - 215,300.00 USD annually