Senior Rack-Scale AI Hardware Validation Engineer

Qualcomm

San Diego (CA)

On-site

USD 111,300 - 166,900

Full time

14 days+
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Job summary

Qualcomm Technologies, Inc. in California seeks experienced Technical Leads for the Data Center AI System Hardware and Validation Engineering team.

You will drive rack-scale design, define requirements, manage schedules, and coordinate cross-functional reviews across silicon, firmware, networking, and telemetry. Join a world-class team delivering scalable AI infrastructure for next-generation data centers, with emphasis on observability, KPIs, and rapid problem-solving in a matrixed, global

Qualifications

  • Bachelor’s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field with 2+ years hardware engineering or related experience.
  • Master’s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field with 1+ year hardware experience.
  • PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

Responsibilities

  • Lead execution for next-generation Qualcomm rack-scale designs across teams and sites.
  • Define and manage requirements, scope, schedules, and deliverables with stakeholders.
  • Own rack-level integration plans for compute nodes, PCIe, networking, and cooling.
  • Drive firmware/software/hardware co-design and validation gating.
  • Lead design reviews (architecture, layout, SI/PI, thermal, firmware).
  • Coordinate platform-level debug, telemetry, and observability improvements.

Skills

Rack-level systems
Hardware engineering
Cross-functional leadership
Program management
Agile methods
Communication
Telemetry

Education

Bachelor’s degree in Computer Science or Electrical/Electronics Eng
Master’s degree in related field
PhD in related field

Tools

JIRA/Confluence
SharePoint
Microsoft Office

Job description

Qualcomm Technologies, Inc. in California seeks experienced Technical Leads for the Data Center AI System Hardware and Validation Engineering team.

You will drive rack-scale design, define requirements, manage schedules, and coordinate cross-functional reviews across silicon, firmware, networking, and telemetry. Join a world-class team delivering scalable AI infrastructure for next-generation data centers, with emphasis on observability, KPIs, and rapid problem-solving in a matrixed, global

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