layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Sr Cloud Hardware Dev Engineer, AWS Generative AI & ML Servers at Amazon | LAYIQ

You will define the hardware that runs the world's largest AI training workloads. Your designs span thermal, mechanical, power, and signal integrity across GPU-accelerated platforms. You will drive validation from first silicon through fleet-scale deployment, triage failures correlating across PCIe, power delivery, memory, and accelerator interconnects, and feed root cause findings back into design improvements. When a new server platform launches at a large scale, the architecture, component choices, and quality gates are yours.
Key job responsibilities
Architecture & Design
Define server architectures based on workload demand and customer requirements, translating them into detailed designs and component specifications that enable high-performance AI training and inference at scale
Work with interdisciplinary teams of component, firmware, test, qualification, and integration engineers to deliver cohesive designs
Drive design reviews with ODM/JDM partners covering schematic, layout, BOM, and manufacturing DFx (Design for Test, Design for Manufacturing)
Validation & Bring-up
Define and execute validation strategies from PCBA bring-up through server and rack integration — covering power sequencing, signal integrity, thermal characterization, and accelerator interconnect performance
Own hardware debug during EVT/DVT/PVT builds, correlating failures across PCIe, power rails, memory channels, and GPU subsystems
Triage hardware issues at both ODM facilities and datacenters, conduct root cause analysis, and implement corrective actions
Fleet Quality & Continuous Improvement
Own fleet quality metrics post-launch: server-level annualized failure rates and component-level failure modes
Monitor operational telemetry to identify systemic issues and drive design or process changes for current and future platforms
Partner with test and automation teams to improve manufacturing yield and reduce test dwell times
Cross-Team Collaboration
Work with EC2 architecture teams to align on instance definitions, workload requirements, and platform trade-offs
Drive ODM/JDM design partners through development milestones and production ramp
Collaborate with firmware, software, and operations teams to ensure designs are debuggable, serviceable, and automation-ready
May require occasional (<10%) regional and international travel to Design and Manufacturing Partner sites.
The Ideal Candidate
You think across the full hardware stack — from silicon packaging and power delivery to rack-level thermal and mechanical design. You are as comfortable reviewing a schematic as you are analyzing fleet failure data. You drive quality through data, not assumption, and you hold design partners to the same standard you hold yourself. You mentor and develop junior engineers, contribute to hiring, and share your expertise to make the team stronger.
Why You Will Love It
The world's most advanced frontier models train on the hardware you design. You will see your architecture decisions scale to a large fleet of servers. The team is deeply technical and high-trust — you own platforms end to end from architecture definition through fleet operations.

Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related field
5+ years of experience working with ODMs through the product development and manufacturing lifecycle (EVT, DVT, PVT)
In-depth expertise in high-speed bus design, signal integrity analysis, or power delivery for GPU/accelerator platforms
5+ years of experience with hardware bring-up, debug, and root cause analysis across PCIe, NVMe, memory, and accelerator interconnects
Experience owning fleet quality metrics and driving design improvements based on operational failure data
Experience with thermal/mechanical design for high-power-density compute platforms (liquid cooling, air cooling, or hybrid)
Experience working in large-scale datacenter or cloud environments
Track record of defining engineering standards and design best practices adopted across teams or partner organizations
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.

Sr Cloud Hardware Dev Engineer, AWS Generative AI & ML Servers

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