What are the responsibilities and job description for the Senior Hardware Failure Analysis Engineer at Santa Clara, CA position at Infobahn Softworld Inc.?
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