About the job
Full details, eligibility and the selection process are available on the company's careers page.
Silicon Engineering Intern
Posted 4 weeks ago · Updated 31 Oct 2026
- Experience
- Any experience
- Location
- Bengaluru, Hyderabad
- Job type
- Internship
- Work mode
- On-site
- Apply by
- 30 Apr 2027
Complete details and how to apply
Job Details
| Detail | Information |
|---|---|
| Company | |
| Job Title | Silicon Engineering Intern, PhD, Summer 2027 |
| Team | ML, Systems, and Cloud AI (MSCA) / Google Cloud Silicon |
| Location | Bengaluru, Karnataka, India; Hyderabad, Telangana, India |
| Job Type | Internship |
| Duration | 12 weeks, full time (outside university term time) |
| Stipend / Salary | Not disclosed in the listing |
| Application Deadline | April 30, 2027 |
Note: Applicants can share their preferred working location from Bengaluru or Hyderabad when applying.
About the Job
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.
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 (for example, Search and YouTube) and Google Cloud. Its end users are Googlers, Cloud customers, and people who use Google services around the world. The team prioritizes security, efficiency, and reliability across everything it does, from developing the latest Cloud Silicon products to running a global network, while driving towards shaping the future of hyperscale computing.
Google is an engineering company. It hires 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. Google engineers 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.
Responsibilities
- Responsibilities may vary based on specific teams.
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 programming languages (for example, 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, or 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.
Original Job Posting (Source Data)
Silicon Engineering Intern, PhD, Summer 2027 Google Bengaluru, Karnataka, India; Hyderabad, Telangana, India Intern and Apprentice
Please complete your application before April 30, 2027.
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 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.
About the job 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.
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 Silicon 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.
Disclaimer: Job details are based on the listing published by Google. Please verify the latest requirements, stipend, and deadline on the official Google Careers site before applying.
Interview prep · Software Engineer
How to prepare for this interview
Software engineering interviews test whether you can break a problem down, write correct code under time pressure and explain your thinking. Expect data structures and algorithms, core CS subjects and questions on the projects in your resume.
Typical selection process
-
1
Online assessment
Two or three coding problems on a platform like HackerRank, often with MCQs on CS fundamentals and aptitude.
-
2
Technical round 1
Data structures and algorithms on a shared editor or whiteboard. Think aloud.
-
3
Technical round 2
Projects, OOP, DBMS, operating systems and networking. For experienced roles, basic system design.
-
4
Managerial / HR
Behavioural questions, team fit and offer discussion.
Rounds vary between companies. Google may combine or skip some of them.
Questions to start with
Open a question to see what the interviewer is looking for.
Technical What is the difference between an array and a linked list? When would you choose each?
How to answer:
Arrays give O(1) index access and are cache friendly; linked lists give O(1) insert or delete at a known node. Pick based on the access pattern.
Technical Explain the four pillars of OOP with an example.
How to answer:
Encapsulation, abstraction, inheritance and polymorphism. Use one running example such as a payment system with different payment methods.
HR Walk me through your final year project.
How to answer:
Explain the problem, your exact contribution, the tech you chose and why, and one thing that went wrong and how you fixed it. Interviewers dig into this, so know every line you claim.
This guide is written by the JOBSPOT 360 team from common interview patterns for this kind of role. It is not provided by Google, and the actual questions may differ.
Frequently asked questions
Can freshers apply for the Silicon Engineering Intern role at Google?
Yes. The role accepts candidates with Any experience of experience, so freshers can apply.
What is the salary for this job?
Google has not disclosed the salary. You can ask about it during the HR round.
Where is the job located? Is it remote?
This is an on-site role in Bengaluru, Hyderabad.
What skills are required for this job?
The listing mentions C++, Python, Verilog, UVM, Synopsys and and Cadence tools. Expect interview questions on each of them.
What is the last date to apply?
Applications close on 30 Apr 2027. Apply a few days early, as company portals can stop accepting applications sooner.
How do I apply?
Select "Apply on company site" on this page. It opens Google's official careers page, where you submit your application. JOBSPOT 360 does not collect applications and never charges a fee.
