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Data Center Ai Hardware Engineer

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Onsite

Data Center Ai Hardware Engineer

Qualcomm

Data Center Ai Hardware Engineer

Skills

SQL QueriesPythonData AnalysisAILinuxPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


Job Summary

Looking for self-motivated persons to Lead voltage-plan development, silicon characterization, Vmin analysis, and power optimization activities for Data Center SoCs.

Work closely with PTE, SW, PMIC, Thermal, and Validation teams to define, characterize, validate, and release production-ready voltage plans across silicon milestones.

Analyze large silicon characterization datasets. Develop automation tools using Python, SQL, Excel, Power BI, or similar platforms.

Build dashboards for Vmin trends, voltage correlations, and silicon-health monitoring.

Responsibilities

  • Analysis and development of voltage plans across silicon milestones.
  • Collaborate with PTE, SW, PMIC, Thermal, and Validation teams to define, characterize, validate, and release production-ready voltage plans.
  • Analyze large silicon characterization datasets.
  • Develop automation tools using Python, SQL, Excel, Power BI, or similar platforms.

Required Skills

  • SoC Power Architecture
  • Vmin Characterization
  • PMIC and Regulator Architecture
  • Silicon Bring-up and Validation
  • Statistical Data Analysis
  • Linux/Android Debugging
  • Data Center CPU/AI accelerator platforms
  • Power integrity
  • PDN analysis
  • Good understanding of Schematics and CRO usage for debug
  • Semiconductor Technology
  • PVT Processes

Experience

  • B.E./M.E./M.Tech in ECE, EE, Computer Engineering or related field.
  • 56 years in:
  • SoC Power Characterization, Data center experience
  • Silicon Validation, Voltage Plan Development, Power Optimization

Minimum Qualifications

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

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