layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

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

Manufacturing System Development Engineer, Cloud AI/ML/storage server teams at Amazon | LAYIQ

Domestic and international travel (~25%)
Key job responsibilities
Manufacturing Debug & Root Cause Analysis
Debug complex system-level failures at the manufacturing line across compute, storage, GPU, networking, power, and thermal domains
Perform root cause analysis correlating across firmware, kernel, driver, PCIe, signal integrity, and physical layers to isolate faults
Troubleshoot Linux boot and runtime failures across x86 and ARM architectures, including NVMe, GPU, NIC, and accelerator subsystems
Drive Root Cause Corrective Action (RCCA) for yield detractors, test escapes, and recurring manufacturing failures
Provide on-site ODM/CM support during critical builds, EVT/DVT/PVT phases, and production ramp
Test Software & Automation Development
Design, develop, and maintain manufacturing test software and diagnostic tools deployed at ODM/CM lines
Build automation that reduces manual triage — enabling faster fault isolation and higher first-pass yield
Develop and optimize system-level test flows (BFT, functional test, stress test, burn-in) for GPU accelerator platforms
Build, manage, and deploy CI/CD pipelines for rapid deployment of test code to manufacturing environments
Write scalable, robust code in Python, C/C++, or Java to solve manufacturing test and debug challenges
Manufacturing Process & Quality
Define and improve manufacturing test strategy including coverage, duration, fixture requirements, and pass/fail criteria
Analyze test data and yield trends to identify systemic issues; drive design and process improvements
Collaborate on DFx reviews (DFT/DFM) to ensure new designs are testable and diagnosable at the manufacturing line
Develop diagnostic tooling requirements for ODM/CM enablement — ensuring partners can effectively screen and debug at scale
Research and implement automation techniques to improve manufacturing efficiency and reduce human intervention
Cross-Team Collaboration
Work across hardware design, firmware, qualification, and manufacturing engineering teams to close the loop between line failures and design improvements
Engage with ODMs and design partners on testability, diagnostic, and automation requirements during NPI
Collaborate with internal teams on GPU module integration, test coverage, and manufacturing debug procedures
Partner with fleet health teams to ensure manufacturing diagnostics align with production monitoring and field failure analysis
Basic Qualifications
2+ years of non-internship professional software development experience
1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
5+ years of software development experience with at least one modern language (Python, C/C++, Java)
3+ years of experience debugging hardware systems — server, accelerator, storage, or high-tech platforms
Experience with Linux/Unix systems including boot flow, kernel, drivers, and OS-level diagnostics
Hands-on experience troubleshooting hardware failures at a manufacturing line or lab environment
Experience working with ODMs/CMs through product development and manufacturing lifecycle
Willingness to travel domestically and internationally (~25%), including extended on-site manufacturing support

Experience with GPU-based server or accelerator platform manufacturing and debug
Familiarity with server hardware architecture: PCIe topology, NVMe, BMC/IPMI, power delivery, thermal
Experience developing manufacturing test automation or diagnostic frameworks at scale
Experience with board-level debug (oscilloscope, logic analyzer)
Knowledge of firmware, BIOS, BMC, and their interaction with manufacturing test flows
Experience with manufacturing yield analysis, test optimization, and throughput improvement
Experience building CI/CD pipelines for test software deployment
Familiarity with telemetry, log correlation, and failure pattern analysis in manufacturing environments
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 System Development Engineer, Cloud AI/ML/storage server teams

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