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Senior Hardware Failure Analysis Engineer at Santa Clara, CA

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Infobahn Softworld Inc.

Santa Clara, CA (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/12/2026

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Job Description

Location:
Santa Clara, CA -
Onsite Employment Type:
3-month contract with potential for full-time conversion
THE ROLE
The ideal candidate is a hands-on hardware engineer with strong debugging skills, a disciplined approach to root-cause analysis, and experience with high-speed systems in Linux-based environments. You are detail-oriented, collaborative, and comfortable driving complex issues through resolution. You communicate clearly and effectively across engineering, operations, and manufacturing teams, and can drive cross-functional agendas with confidence. You actively seek out AI-powered tools and approaches to work more efficiently and expect them to be part of your everyday workflow.
KEY RESPONSIBILITIES
Manage and track failure cases and RMA workflows in Salesforce; develop and maintain automation to streamline validation and reporting; support Salesforce UAT activities as required Lead failure analysis of returned Pensando DPU and AI NIC hardware; perform structured RCA and author FA and 8D reports with actionable corrective actions Develop and maintain diagnostic scripts, test procedures, RMA validation workflows, and custom debug tooling using Python, Bash, or equivalent Identify recurring failure trends through data analysis and partner with Hardware, Design, and Manufacturing teams to drive systemic corrective actions Support hardware debug in Linux-based environments, including mechanical assembly and cable routing review as part of failure investigations Manage and track failure cases and RMA workflows in Salesforce; develop and maintain Salesforce-based automation to streamline validation workflows and reporting
REQUIRED QUALIFICATIONS
Strong bias toward leveraging AI tools to accelerate debugging, automate repetitive workflows, and improve overall engineering efficiency 5+ years of experience in hardware engineering, failure analysis, or related roles Strong knowledge of DPUs, AI NICs, PCIe, and high-speed networking Experience with Linux-based diagnostics Proficiency in Python, Bash, or other scripting languages Experience developing custom debug and validation tools Strong attention to detail and problem-solving skills Excellent verbal and written communication skills with the ability to drive cross-functional collaboration and align stakeholders across Hardware, Design, Manufacturing, and Operations teams
PREFERERRED QUALIFICATIONS
Experience with Salesforce for case management or workflow tracking Background in manufacturing quality, reliability engineering, or RMA processes
ACADEMIC CREDENTIALS
Bachelor's in Computer Engineering, or a related field preferred

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