layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

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

Manufacturing hardware engineer, Cloud AI/ML/storage server teams at Amazon | LAYIQ

Key job responsibilities
NPI Manufacturing Engineering
Own end-to-end NPI manufacturing execution for GPU accelerator platforms across EVT/DVT/PVT builds and pilot production
Perform NUDD risk assessments and carry-over analysis to identify and mitigate manufacturing risks before design freeze
Develop First Build Readiness Plans encompassing BOM availability, assembly strategy, test code readiness, and build instructions
Define Manufacturing Test Strategy including test flows, coverage, fixture requirements (ICT, BFT, system-level), and buy-off criteria
Lead DFx reviews (DFM/DFA/DFT) leveraging mechanical CAD models, gerber files, and mock-up samples; drive design improvements with hardware engineering teams
Create manufacturing capacity plans with line balance and cycle time analysis to maximize throughput
Lead DFMEA/PFMEA reviews; develop process flow diagrams and quality control plans
Develop Technical Manufacturing Information (TMI) packages for CM enablement
Hardware Debug & Root Cause Analysis
Debug complex system failures during manufacturing — diving deep across hardware, firmware, power, thermal, and signal integrity layers to drive root cause
Perform root cause corrective action (RCCA) for manufacturing blockers, yield detractors, and quality escapes
Correlate failure modes across firmware, kernel, driver, thermal, power, and physical layers
Apply knowledge of server architecture (CPU, GPU, memory, NVMe, PCIe) to resolve integration and test failures at the manufacturing line
Quality, Automation & Continuous Improvement
Execute Test Rack Inspections and OK2Ship checklists; issue quality alerts, deviations, and ship-holds as required
Research automation techniques and develop new test systems to improve manufacturing efficiency and reduce manual intervention
Drive toward predictive diagnostics using manufacturing telemetry, test data trending, and failure pattern analysis
Identify systemic quality issues and drive design improvements in partnership with hardware engineering teams
Cross-Team Collaboration
Provide on-site ODM/CM support during critical builds and production ramp
Collaborate with internal teams on GPU module integration, thermal validation, and manufacturing requirements
Partner with design engineering, operations, firmware, test, and qualification teams to close the loop between manufacturing issues and design improvements
Manage manufacturing requirements, schedules, and deliverables across engineering teams, suppliers, and partners

Master's degree in Electrical or Mechanical Engineering
Experience working in a fast-paced, rapidly changing operations environment
Experience with GPU-based server or accelerator platform manufacturing
Familiarity with server technologies: PCIe topology, NVMe, high-speed bus design, signal integrity, power distribution
Experience with DFx and FMEA methodologies
Experience building or improving manufacturing test systems and automation
Experience with failure analysis techniques and fleet-scale defect trending
Knowledge of firmware, BIOS, BMC, and their interaction with manufacturing test flows
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.

Manufacturing hardware engineer, Cloud AI/ML/storage server teams

Employer job description

A day in the life

Preferred Qualifications

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