Silicon SoC Design/Integration Engineer, TPU, Google Cloud

Google

Google is a global technology leader that develops innovative cloud, AI, and computing solutions.

Bengaluru, Karnataka, India

Embedded

Mid-Level Software Engineer

In-Person

5,000+ Employees

8+ years of experience

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Description For Silicon SoC Design/Integration Engineer, TPU, Google Cloud

Google is seeking a Silicon SoC Design/Integration Engineer for their TPU (Tensor Processing Unit) team within Google Cloud. This role focuses on shaping the future of AI/ML hardware acceleration through cutting-edge TPU technology that powers Google's most demanding AI/ML applications. The position involves working with custom silicon solutions for TPU development, requiring expertise in ASIC development, design verification, and SoC integration.

The role is integral to developing ASICs that accelerate machine learning computation in data centers. You'll collaborate with cross-functional teams in architecture, verification, power and performance, and physical design to deliver high-quality designs for next-generation data center accelerators. The position requires innovative problem-solving skills in micro-architecture and logic solutions, with a focus on optimizing complexity, performance, power, and area.

As part of Google's Technical Infrastructure team, you'll contribute to the architecture that supports Google's entire product portfolio. The team is responsible for developing and maintaining data centers and building next-generation Google platforms. The role offers the opportunity to work on cutting-edge technology while being part of a team that ensures Google's users have the best and fastest experience possible.

This position combines deep technical expertise in hardware design with the excitement of working on AI/ML infrastructure at scale. It's an opportunity to impact the future of machine learning acceleration while working with some of the most advanced computing systems in the industry.

Last updated 3 months ago

Responsibilities For Silicon SoC Design/Integration Engineer, TPU, Google Cloud

Own microarchitecture, implementation, and integration of SoC Chassis and subsystems
Perform quality check flows (e.g., Lint, CDC, RDC, VCLP)
Drive design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams
Identify and drive power, performance, and area improvements for the domains owned

Requirements For Silicon SoC Design/Integration Engineer, TPU, Google Cloud

Python

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
8 years of experience in ASIC development with Verilog/SystemVerilog, VHDL
Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT)
Experience in one or more SoC integration domains and flows (e.g., clocking, debug, fabrics, security, or low power methodologies)

Benefits For Silicon SoC Design/Integration Engineer, TPU, Google Cloud

Medical Insurance

Vision Insurance

Dental Insurance

Parental Leave

Equal employment opportunity
Inclusive work environment
Comprehensive medical benefits
Parental leave
Accommodation for special needs

Google

Google is a global technology leader that develops innovative cloud, AI, and computing solutions.

Bengaluru, Karnataka, India

Embedded

Mid-Level Software Engineer

In-Person

5,000+ Employees

8+ years of experience

Google

Find Winner on a Tic Tac Toe Game

Data Structures & AlgorithmsEasy

Tic-tac-toe is played by two players A and B on a 3 x 3 grid. The rules of Tic-Tac-Toe are: Players take turns placing characters into empty squares ''. The first player A always places 'X' characters, while the second player B always places 'O' characters. 'X' and 'O' characters are always placed into empty squares, never on filled ones. The game ends when there are three of the same (non-empty) character filling any row, column, or diagonal. The game also ends if all squares are non-empty. No more moves can be played if the game is over. Given a 2D integer array moves where moves[i] = [rowi, coli] indicates that the ith move will be played on gridrowi. return the winner of the game if it exists (A or B). In case the game ends in a draw return Draw. If there are still movements to play return Pending. You can assume that moves is valid (i.e., it follows the rules of Tic-Tac-Toe), the grid is initially empty, and A will play first. For example: moves = [[0,0],[2,0],[1,1],[2,1],[2,2]] Output: A moves = [[0,0],[1,1],[0,1],[0,2],[1,0],[2,0]] Output: B moves = [[0,0],[1,1],[2,0],[1,0],[1,2],[2,1],[0,1],[0,2],[2,2]] Output: Draw

Arrays

Google

Design a URL shortening system.

System DesignMedium

Let's design a system for URL shortening, like TinyURL. Assume that we need to handle a large number of requests, say billions of URLs per day. Consider the following: Functional Requirements: The system should generate a shorter, unique alias for a given URL. Users should be able to enter a shortened URL and be redirected to the original URL. The shortened URLs should be relatively short. Non-Functional Requirements: The system should be highly available. URL redirection should be as fast as possible. The shortened URLs should be unique. The system should be scalable to handle a large number of URLs and requests. Considerations: How would you design the data model to store the mappings between shortened and original URLs? What algorithms would you use to generate the shortened URLs? Consider the trade-offs between different algorithms. How would you handle collisions (when the same shortened URL is generated for two different original URLs)? What kind of database would you use and why? How would you handle the high volume of traffic and ensure low latency for redirection? Consider caching strategies. How would you scale the system to handle future growth? Walk me through your design, explaining your choices and the rationale behind them. Include diagrams and specific technologies where appropriate. Explain how you would ensure the system meets the requirements for availability, performance, and scalability.

Database Problems

Arrays

Strings

Google

Tell me about the most challenging project you have ever handled

Behavioral

Tell me about the most challenging project you have ever handled. To provide more context, please consider the following aspects in your response: Describe the project briefly: What were the project's goals, and what was your role? What made it challenging? Was it a technical hurdle, a difficult deadline, a complex team dynamic, ambiguous requirements, or something else? Provide specific examples of the challenges you faced. How did you overcome these challenges? What steps did you take to address the issues? What resources did you utilize? Did you have to learn new skills or technologies on the fly? What was the outcome? Were you able to successfully complete the project? If not, what were the lessons learned? What would you do differently next time? What was your biggest takeaway from the project? How did this experience shape your approach to future projects? Did it change your perspective on teamwork, problem-solving, or project management? For instance, perhaps you led a project to migrate a legacy system to a new cloud-based platform, and you encountered unexpected compatibility issues that required you to develop innovative workarounds. Or maybe you were part of a team that was tasked with developing a new feature for a popular product, but the requirements changed frequently, and the timeline was extremely tight. Sharing these types of details will help me understand the scope and complexity of the project and how you responded to the challenges involved.

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