Silicon Engineering Intern, PhD, Summer 2027
Google · Posted Nov 4
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The ML, Systems, and Cloud AI (MSCA) organization at Google designs and manages the hardware, software, machine learning, and systems infrastructure for Google services and Google Cloud, including cloud silicon products such as TPUs, arm-based servers, and network products. This Silicon Engineering Intern role works with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon. Responsibilities span product definition, design and implementation, balancing performance, power, features, schedule, and cost.
What you will do
- As a Silicon 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.
- Responsibilities may vary based on specific teams.
Skills used in this role
What the employer is looking for
- Currently pursuing a PhD degree in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering, or a related technical field.
- Experience in programming languages (e.g., C++, Python, Verilog, UVM), Synopsys, and Cadence tools.
- Experience in one or more of the following areas: hardware system integration, product design, computer architecture, digital design verification, digital circuits, ASIC physical design, FPGAs, embedded systems, memory systems.
Preferred qualifications
- Currently attending a degree program in India and available to work full time for 12 weeks outside of university term time.
- Experience with performance modeling tools, C++, Python or silicon design tools in front end/design verification/physical design.
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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