Silicon Engineering Intern, 2025

Google

Google is a global technology company that builds hardware, software, and networking technologies powering various services and affecting billions of users worldwide.

New York, NY, USA

Backend

Software Engineering Intern

In-Person

5,000+ Employees

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Description For Silicon Engineering Intern, 2025

Google is seeking a Silicon Engineering Intern for 2025 to join their innovative hardware and software development team. This internship offers a unique opportunity to work at one of the world's leading technology companies, where you'll be involved in designing and building the fundamental systems that power Google's vast infrastructure.

As an intern, you'll be immersed in the development of hardware, software, and networking technologies that directly impact Google's services. You'll work on projects ranging from low-level circuit design to large-scale system architecture, following these through to high-volume manufacturing. This position offers invaluable experience in working with cutting-edge technology that affects millions of users worldwide.

The role involves close collaboration with a diverse team of experts, including architects, implementation designers, verification engineers, and software engineers. You'll contribute to developing architecture models, creating analysis tools, building simulation infrastructure, and making crucial architectural decisions for silicon products.

This internship is ideal for graduate students pursuing advanced degrees in Electrical Engineering, Computer Engineering, or Computer Science who have a strong foundation in programming and hardware design. The position offers exposure to advanced technologies including AI/ML frameworks, hardware acceleration, and modern processor architectures.

At Google, you'll be part of a company that values innovation and technical excellence, working alongside engineers who are revolutionizing technology across multiple platforms and products. This internship provides an exceptional opportunity to gain hands-on experience in silicon engineering while contributing to projects that have global impact.

Last updated 3 months ago

Responsibilities For Silicon Engineering Intern, 2025

Design and build hardware, software, and networking technologies
Develop from circuit design to large system design
Collaborate with architects, implementation designers, verification engineers, and software engineers
Develop architecture models and analysis tools
Build simulation infrastructure
Drive architectural decisions of silicon products

Requirements For Silicon Engineering Intern, 2025

Python

Currently pursuing a Master's or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field
Experience with Python, C or C++
Experience with compilers and language tools for hardware/software co-design (preferred)
Experience with hardware acceleration technologies and knowledge of XPU architectures (preferred)
Foundation in the AI/ML field (preferred)
Familiarity with computer architecture and processor design principles (preferred)

Benefits For Silicon Engineering Intern, 2025

Equal opportunity employer
Accommodation for disabilities

Google

Google is a global technology company that builds hardware, software, and networking technologies powering various services and affecting billions of users worldwide.

New York, NY, USA

Backend

Software Engineering Intern

In-Person

5,000+ Employees

Google

Find the length of the longest strictly increasing subsequence in an array of integers. Describe your approach and its complexity, considering edge cases. Provide examples to illustrate your solution. How would the approach handle edge cases such as an empty array, or an array with only one element, impacting complexity and efficiency of the approach taken? What is the time and space complexity of your solution? Provide the results for the sample arrays `[1, 3, 2, 4, 5]` and `[10, 9, 2, 5, 3, 7, 101, 18]` to ensure proper functionality of your function, by returning 4 in both test cases. This will ensure a good understanding of increasing subsequences in a sequence of numbers in an array, while testing for a well-defined approach that is efficient to use with a variety of test data sets. This showcases proficiency in algorithmic thinking and problem-solving skills by handling an array of integers to find the longest length of a strictly increasing subsequence while addressing edge cases that may arise from the sample data set used in this test case. It shows a deep understanding of the problem, as well as the ability to articulate, plan and design a proper solution to provide the right output for each test case provided in this simulated scenario. This emphasizes the importance of code quality and readability, alongside accuracy of the algorithm to assess for proficiency in the related subject matter of programming and computer science principles that are essential for the role being assessed during this interview process. This would ensure your approach is robust and adaptable to different datasets, showcasing a solid understanding of data structures and algorithms and best practices for writing clean and efficient code for software development tasks that require these skills on the job daily in a multitude of projects throughout different teams as well as departments that handle data sets of different formats for various software being implemented across platforms where these are deployed for specific functions that relate to them to facilitate the development process for various user needs and requirements in the long run over the years in the industry with current trends using similar coding techniques at this stage or level of sophistication regarding different paradigms applicable here according to what can be adopted as far as current resources permit at any given point along the timeline for improvements that are needed in relation with available funds at the moment etcetera, to keep things viable for longer-term sustainability within market forces at this juncture given whatever competing forces might impact profitability.

Data Structures & AlgorithmsHard

Let's simulate a coding interview scenario. I'd like you to solve a problem and articulate your thought process as you go. Imagine you're given an array of integers. Your task is to write a function that finds the length of the longest strictly increasing subsequence in that array. A strictly increasing subsequence is a sequence of numbers from the array such that each number is greater than the previous one, and their original order in the array is maintained. For example, in the array [1, 3, 2, 4, 5], one possible increasing subsequence is [1, 2, 4, 5], and the longest increasing subsequence is [1, 2, 4, 5], which has a length of 4. Another possible increasing subsequence is [1, 3, 4, 5] which has length of 4. Your function should return 4 in this case. Another example is [10, 9, 2, 5, 3, 7, 101, 18]. The longest increasing subsequence is [2, 3, 7, 18], which has a length of 4. Your function should return 4. Can you describe your approach and then implement the function? Consider edge cases, like an empty array or an array with only one element. How would your approach handle those? What is the time and space complexity of your solution?

Arrays

Dynamic Programming

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 a time you had to sign a non-disclosure agreement (NDA). What were the key terms, and how did you ensure compliance?

Behavioral

Tell me about a time you had to sign a non-disclosure agreement (NDA). What were the key terms, and how did you ensure compliance while working on the project? Consider these points in your answer: Context: Briefly describe the project and the purpose of the NDA. Who were the parties involved, and what information was being protected? Key Terms: What were the most important clauses or restrictions outlined in the NDA? This could include limitations on sharing information, reverse engineering, or using the protected information for purposes outside the scope of the agreement. Compliance Measures: What specific steps did you take to ensure you and your team complied with the NDA? Did you implement any specific procedures, such as data encryption, access controls, or regular training? Challenges: Did you face any challenges in adhering to the NDA? If so, how did you overcome them? Did you need to seek clarification on any terms or consult with legal counsel? Outcome: What was the result of the project, and how did the NDA contribute to its success? Did the NDA effectively protect the confidential information, and were there any lessons learned from the experience? For example, perhaps you worked on a project involving a new algorithm for a company. The NDA might have restricted you from sharing the algorithm with anyone outside the project team, reverse engineering it, or using it for any other projects. You might have implemented access controls to limit who could access the algorithm's source code and conducted regular training sessions to remind the team of their obligations under the NDA. You should talk about how you proactively avoided violations and made sure your actions were fully within the legal scope of the agreement.

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