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Engineering - Debug Engineer

Job in Santa Clara, Santa Clara County, California, 95050, USA
Listing for: Mindlance
Full Time position
Listed on 2026-07-01
Job specializations:
  • Engineering
    Quality Engineering
  • Quality Assurance - QA/QC
    Quality Engineering
Job Description & How to Apply Below
Position: Engineering - Debug Engineer 1

Hardware Engineer

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

Preferred 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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