Google has a live Silicon Engineering Intern, PhD, Summer 2027 opening for Bengaluru and Hyderabad in India. This is a specialized hardware and silicon engineering opportunity, not a general software internship for all students. The minimum education requirement is an ongoing PhD in a relevant technical discipline. Applicants should check that restriction before preparing a submission.
Jobsii checked the official vacancy and its Apply route on 9 October 2026. The vacancy displayed the role requirements and an application button, and that button led to Google Accounts sign-in. Applications are made through Google Careers; Jobsii neither collects applications nor promises interviews or selection.
The official title is Silicon Engineering Intern, PhD, Summer 2027. Candidates can indicate a preferred location between Bengaluru, Karnataka and Hyderabad, Telangana. The vacancy instructs applicants to complete their application before 30 April 2027. It does not specify a closing time or timezone, so do not assume that submitting late on that date will be accepted.
Google lists full-time availability for 12 weeks outside university term time among its preferred qualifications. That is important planning information, but should not be rewritten as a separately guaranteed start date or fixed contract duration. Exact joining dates, the number of openings and any permanent-job conversion arrangement are not published on this vacancy.
The role-specific page does not disclose a stipend amount or explicitly classify this particular opening as paid or unpaid. Compensation is therefore marked not disclosed. Do not copy salary estimates from unrelated Google internships. Remote or hybrid eligibility, relocation support and accommodation arrangements are also not specified; Indian city choices do not establish permission to work from anywhere.
Applicants must currently be pursuing a PhD in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering or a related technical field. A bachelor's or master's degree alone does not satisfy the stated education requirement. This article concerns the PhD silicon role, not Google's separate software engineering internship already covered on Jobsii.
The minimum qualifications also ask for experience with programming languages, giving C++, Python, Verilog and UVM as examples, and with Synopsys and Cadence tools. Describe your actual experience accurately. The examples should not be turned into a claim that an unrelated programming background alone meets the complete tool and technical requirements.
Candidates need experience in at least one relevant area: integrating hardware systems, product design, computer architecture, verifying digital designs, digital circuits, ASIC physical design, FPGAs, embedded systems or memory systems. The vacancy does not publish a numerical marks cutoff, a college shortlist or a minimum number of professional experience years. Technical suitability still matters.
Google prefers applicants attending a degree programme in India who can work full-time for 12 weeks outside their university term. It also values performance-modeling experience and work with C++, Python or silicon tools spanning front-end design, verification or physical design. These preferences should not be presented as a different mandatory degree or graduation-batch rule.
Other preferred knowledge includes arithmetic units, bus architectures, accelerators, memory hierarchies, computer architecture and linear algebra, or a machine-learning and deep-learning background. Understanding high-performance and low-power design techniques is another preference. Google also states that English proficiency is required unless a posting says otherwise. Match your evidence to relevant topics rather than adding unsupported skills.
The role sits within work on Google Cloud Silicon, including tensor processing units, Arm-based servers and networking products. Interns collaborate with hardware and software architects and designers on architecture, modeling, analysis, definition and design. The vacancy describes balancing engineering factors such as performance, power, features, scheduling and cost.
Product definition, design and implementation can form part of the work, but Google explicitly says responsibilities vary with the team. The page does not promise that every intern will work on the same chip, own a specific accelerator block or receive a particular assignment. Treat the description as the scope of the opportunity, not a personalized project allocation.
Open the official vacancy using the link below, confirm that the role and Apply button are still available, and review the latest requirements. Select Apply to enter Google's application flow. The route checked by Jobsii required Google Account sign-in before the application could be completed. No account was accessed and no application was submitted during verification.
Once signed in, follow the instructions Google displays for your profile, documents and submission. The authenticated form was not inspected, so Jobsii does not invent mandatory document lists or additional screening questions. Check your education status, relevant technical experience and location preferences carefully, and complete the application ahead of the employer's stated deadline.
The following suggestions are independent editorial guidance, not extra employer requirements or a prediction of Google's interview stages. Choose one or two relevant research or engineering projects that you can explain in depth. Identify the problem, your own contribution, the evaluation method and what the result actually demonstrates. Separate individual work from a team's overall achievement.
For a verification project, you could explain the intended behavior, the test strategy and how you investigated a failing case. For architecture or modeling work, explain the assumptions behind a comparison and the limits of your measurements. These examples are preparation prompts, not tasks assigned by Google. Do not invent tape-outs, production deployments or performance gains.
A concise explanation of tradeoffs can be more useful than an unexplained list of tools. Discuss why you chose an approach, what alternatives you considered and which constraints shaped the decision. If a result is simulated rather than measured on hardware, say so. Use only material that you are allowed to share; protect confidential research and proprietary design information.
Compare the preferred full-time, outside-term availability with your university calendar, research obligations and supervisor expectations. Ask the recruiter about exact dates, attendance requirements, compensation and any support before making commitments. A public internship listing is not an employment offer, and broad company statements do not establish individualized benefits or guaranteed equity.
Check the current official page again before submitting, especially if you apply months after reading this article. Use Google's published application route rather than sending documents to unrelated contacts. Google controls eligibility assessment, team matching, selection and final terms. Jobsii's purpose is to explain the verified opening and its restrictions without filling missing details with assumptions.
Review the role details, deadline, and work mode before applying. Jobsii tracks the apply action so candidates can keep application history inside their dashboard.
