Silicon Engineering Intern

Talent'd HR Solutions; Hyderabad; On-site; INR 334,800 - 669,600; Full time

Job summary

Talent'd HR Solutions is seeking a Silicon Engineering Intern in Hyderabad, India. The intern will contribute to significant projects shaping the future of Google Cloud Silicon, collaborating with engineering teams across product definition, design, and implementation. Candidates should be pursuing a PhD in relevant fields and possess experience with languages like C++, Python, and hardware integration. This full-time role spans 12 weeks, focusing on advanced computing platforms.

Qualifications

• Currently pursuing a PhD in relevant technical discipline.
• Experience with programming languages such as C++, Python, Verilog, or UVM.
• Experience in hardware system integration or product design.

Responsibilities

• Work with engineering teams to support silicon architecture, modeling, and design.
• Collaborate with teams to define and develop cloud infrastructure products.

Skills

C++

Python

Verilog

UVM

Hardware system integration

Digital design verification

Education

PhD in Computer Engineering, Computer Science, or related field

Tools

Synopsys

Cadence

Job description

As a Silicon Engineering Intern, you will contribute to teams shaping the future of Google Cloud Silicon, including TPUs, Arm‑based servers, and networking products. You will work alongside hardware and software architects and designers to architect, model, analyze, define, and develop next generation cloud silicon.

The role involves responsibilities across product definition, design, and implementation. Interns collaborate with engineering teams to balance performance, power consumption, features, timelines, and cost while building advanced computing platforms.

The ML, Systems, and Cloud AI (MSCA) organization develops and manages the hardware, software, machine learning, and systems infrastructure powering Google services such as Search and YouTube, as well as Google Cloud. The organization focuses on security, efficiency, and reliability while advancing hyperscale computing.

Minimum Qualifications

• Currently pursuing a PhD in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering, or a related technical discipline.
• Experience with programming languages such as C++, Python, Verilog, or UVM, along with Synopsys or Cadence tools.
• Experience in areas such as hardware system integration, product design, computer architecture, digital design verification, digital circuits, ASIC physical design, FPGA development, embedded systems, or memory systems.

Preferred Qualifications

• Experience using performance modeling tools, C++, Python, or silicon design tools in front end design, verification, or physical design.
• Understanding of arithmetic units, bus architectures, accelerators, memory hierarchies, computer architecture, linear algebra, or ML and DL concepts.
• Knowledge of high performance and low power design techniques.
• Currently enrolled in a degree program in India and available to work full time for 12 weeks outside of academic term time.

Responsibilities

• Responsibilities may differ depending on the team and project assignment.
• Work with engineering teams to support silicon architecture, modeling, design, and analysis for future cloud infrastructure products.

Information collected during the application process is handled according to Google's Applicant and Candidate Privacy Policy. Google is an equal opportunity employer and promotes an inclusive workplace for all employees.