Silicon Engineering Intern, PhD, Summer 2026

2 days ago

Bengaluru, Karnataka, India Google Full time ₹ 10,000 - ₹ 50,000 per year
info_outlineXPlease complete your application before March 31, 2026.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.
Minimum qualifications:
  • Currently pursuing a PhD degree in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering, or a related technical field
  • Experience in one or more of the following areas: Hardware System Integration, Signal and Power Integrity, System Validation, Wireless Communications, Product Design, Computer Architecture, Digital Design Verification, Digital Circuits, ASIC Physical Design, FPGAs, Embedded Systems, Memory Systems
  • Experience in programming languages (e.g., C++, Python, Verilog, UVM), Synopsys and Cadence tools
Preferred qualifications:
  • Experience with wireless communication interfaces and sensors
  • Experience with performance modeling tools, C++, Python or Silicon design tools in Front End/Design Verification/Physical Design (with any or all of these)
  • Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies; computer architecture; linear algebra; or ML/DL background
  • Knowledge of high performance and low power design techniques
  • Currently attending a degree program in India and available to work full time for 12 weeks outside of university term time


About the job

As a Hardware Engineering Intern, you will work in a team that is shaping the future of Google Cloud Silicon, including TPUs, Arm based servers and network products. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation Cloud Silicon. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design and implementation, collaborating with the Engineering teams to drive the optimal balance between performance, power, features, schedule and cost.

The ML, Systems and Cloud AI (MSCA) organization at Google designs, implements and manages the hardware, software, machine learning and systems infrastructure for all Google services (e.g., Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and people who use Google services around the world.

We prioritize security, efficiency and reliability across everything we do - from developing our latest Cloud Si products to running a global network, while driving towards shaping the future of hyperscale computing.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.



Responsibilities
  • Responsibilities may vary based on specific teams.

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