INTERNSHIP DETAILS

Electrical Engineering INTERN

CompanyMicrosoft
LocationMountain View
Work ModeOn Site
PostedSeptember 4, 2026
Internship Information
Core Responsibilities
The intern will design, develop, and validate hardware components for large-scale AI and GPU-based data center fleets. Responsibilities include performing rack-level validation, analyzing hardware telemetry to identify failure patterns, and collaborating with cross-functional teams to improve hardware reliability.
Internship Type
full time
Salary Range
$5,690 - $12,250
Company Size
232721
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
About the Role
Overview

Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.  

As an Electrical Engineer intern, you will design, develop, modify and evaluate components used in electronic devices that involve the manipulation, transmission, and storage of electricity. This opportunity will allow you to define design approaches, implementation schedules, technical specifications and parameters for devices. You will partake in selecting materials and components based on analysis of specifications and reliability. You will help develop test plans and direct support personnel, or other engineers, in the preparation and execution of design testing or prototype fabrication. 

This role is responsible for end‑to‑end hardware quality engineering for large‑scale AI and GPU‑based data center fleets, with a focus on early failure detection, root cause analysis, and operational quality enablement. The position partners closely with data center operations, firmware, platform engineering, diagnostics, and vendor teams to improve hardware reliability, reduce repeat incidents, and accelerate mean‑time‑to‑resolution (MTTR) across production AI infrastructure.

At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

#EiP

#SCHIE



Responsibilities
  • Performs single‑node and rack‑level validation to confirm hardware remediation effectiveness before fleet re‑entry.
  • Analyzes large volumes of hardware telemetry, logs, and diagnostics data to identify systemic failure patterns and repeat offenders.
  • Partners with diagnostics and platform teams to enable out‑of‑band telemetry collection (e.g., BMC SEL, PCIe health indicators), integrate diagnostics into existing operational tools and workflows.


Qualifications

Required qualifications:

  • Currently pursuing Bachelor's Degree in Electrical Engineering, Computer Engineering, or related field OR equivalent experience.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.

Additional or Preferred qualifications:

  • Bachelor's degree (or currently pursuing) in Electrical Engineering, Computer Engineering, or related field AND 1+ year(s) of technical engineering experience
    • OR Master's degree in Electrical Engineering, Computer Engineering, or related field.
  • Experience with server architectures and/or their subsystems – including GPU, CPU, AI hardware, Memory and methods for root cause analysis and debugging.
  • 3+ months related technical engineering experience or internship experience.


The base pay range for this internship is USD $5,690.00 - $11,210.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,410.00 - $12,250.00 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay

Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Key Skills
Electrical EngineeringHardware ValidationRoot Cause AnalysisTelemetry AnalysisData Center OperationsFirmwarePlatform EngineeringDiagnosticsGPU ArchitectureCPU ArchitectureAI HardwareMemory SystemsDebuggingPCIeBMC
Categories
EngineeringTechnologySoftwareData & Analytics