Senior SoC and IP Design Engineer

Google

Google is a global technology company that develops custom silicon solutions and powers direct-to-consumer products used by millions worldwide.

Tel Aviv-Yafo, Israel

Embedded

Senior Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS

Description For Senior SoC and IP Design Engineer

Google Cloud is seeking a Senior SoC and IP Design Engineer to join their Technical Infrastructure team. This role is crucial in developing custom silicon solutions that power Google's direct-to-consumer products. As part of the team, you'll be working on cutting-edge hardware architecture that keeps Google's vast infrastructure running smoothly.

The position offers an opportunity to work with state-of-the-art technology in SoC design, focusing on high-performance and low-power solutions. You'll be involved in the entire design process, from documentation to implementation and verification. The role requires expertise in RTL development, digital logic design, and various verification methodologies.

Working at Google means joining a diverse team that pushes boundaries and innovates continuously. You'll be contributing to products used by millions of people worldwide, while collaborating with multi-disciplined teams across different locations. The Technical Infrastructure team takes pride in being the engineers' engineers, focusing on building and maintaining the next generation of Google platforms.

This is an excellent opportunity for someone passionate about hardware design and looking to make a significant impact at scale. You'll be working with cutting-edge technologies and protocols like PCIe, UCIe, DDR, AXI, and ARM processors. The role offers the chance to work on complex technical challenges while being part of a company known for its innovative culture and global impact.

As a Senior SoC and IP Design Engineer, you'll be at the forefront of developing the architecture that powers Google's extensive product portfolio. The position requires a blend of technical expertise, collaborative skills, and innovative thinking to create efficient and powerful silicon solutions that meet Google's high standards of performance and reliability.

Last updated 3 months ago

Responsibilities For Senior SoC and IP Design Engineer

Define the SoC/block level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform Register-Transfer Level (RTL) development (e.g., coding and debug in Verilog, SystemVerilog), function/performance simulation debug and Lint/CDC/FV/UPF checks
Participate in synthesis, timing/power closure and ASIC silicon bring-up
Participate in test plan and coverage analysis of the block and SoC level verification
Communicate and work with multi-disciplined and multi-site teams

Requirements For Senior SoC and IP Design Engineer

Python

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent practical experience
5 years of experience with digital logic design principles, RTL design concepts, and languages such as Verilog or SystemVerilog
Experience with logic synthesis techniques to optimize RTL code, performance and power as well as low-power design techniques
Experience in logic design and debug with Design Verification (DV)
Experience with design sign-off and quality tools (e.g., Lint, CDC, etc.)

Google

Google is a global technology company that develops custom silicon solutions and powers direct-to-consumer products used by millions worldwide.

Tel Aviv-Yafo, Israel

Embedded

Senior Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS

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

How would you design a web proxy?

System DesignMedium

Let's design a web proxy. Consider the following requirements: Basic Functionality: The proxy should be able to forward HTTP and HTTPS requests from clients to web servers and return the responses. Caching: Implement caching to reduce latency and bandwidth usage for frequently accessed resources. How would you handle cache invalidation? Security: The proxy should support HTTPS and protect client data. How would you handle SSL/TLS certificates? Scalability: The proxy should be able to handle a large number of concurrent connections. What architectural choices would you make to ensure scalability? Authentication: Implement basic authentication (username/password) to control access to certain websites. Logging: Log requests and responses for debugging and monitoring purposes. What information should be logged, and how would you manage log files? Blocking: Implement the functionality to block access to certain websites based on a blacklist. Discuss the architecture, components, and algorithms involved in building such a web proxy. Include considerations for performance, security, and maintainability. Provide example scenarios and solutions to potential challenges.

Arrays

Strings

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Google

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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