More jobs:
Engineering - Debug Engineer
Job in
Santa Clara, Santa Clara County, California, 95050, USA
Listed on 2026-07-01
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
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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