Senior Core IP Hardware Architect

Google

Google organizes the world's information and makes it universally accessible and useful, combining AI, Software, and Hardware to create helpful experiences.

New Taipei City, Taiwan

Embedded

Staff Software Engineer

In-Person

5,000+ Employees

5+ years of experience

AI · Enterprise SaaS · Consumer

Description For Senior Core IP Hardware Architect

Google is seeking a Senior Core IP Hardware Architect to join their hardware innovation team. This role is crucial in developing custom silicon solutions that power Google's direct-to-consumer products. The position combines hardware architecture expertise with cutting-edge technology development, focusing on multimedia systems, camera ISP, video codecs, display, graphics, and machine learning networks.

The ideal candidate will work at the intersection of hardware design and product development, collaborating with research teams and product management to shape the future of Google's hardware experiences. This role requires deep expertise in ASIC hardware architecture and silicon design, with a focus on power efficiency and performance optimization.

You'll be responsible for defining hardware IP architecture specifications, working with global teams, and ensuring that power, performance, and area requirements are met at the SoC level. The position offers the opportunity to work on products used by millions worldwide, contributing to Google's mission of organizing world's information and making it universally accessible.

The role demands both technical excellence and strong collaborative skills, as you'll be working with cross-functional teams across camera ISP, video, display, GPU, and TPU hardware IP design. Your work will directly impact the next generation of Google devices, requiring careful attention to power consumption, performance metrics, and overall system architecture.

This is an excellent opportunity for someone passionate about hardware architecture who wants to make a significant impact on consumer technology. The position offers the chance to work with cutting-edge technology while being part of a team that pushes boundaries in hardware innovation.

Last updated 9 days ago

Responsibilities For Senior Core IP Hardware Architect

Collaborate with Google research and silicon product management to help define product roadmap
Define hardware IP architecture specifications meeting power, performance, area and image quality goals
Collaborate with camera ISP, video, display, GPU and TPU hardware IP design teams
Collaborate with SoC and System architects on meeting power, performance and area requirements
Perform detailed data analysis and tradeoff evaluations to improve multimedia architecture solutions

Requirements For Senior Core IP Hardware Architect

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
5 years of experience in ASIC hardware architecture and silicon design
Experience in architecting and designing low power multimedia hardware IP for SoCs
Experience in micro architecture, power and performance optimization
Experience with interconnect/fabric, security, multi-level caching architectures

Google

Google organizes the world's information and makes it universally accessible and useful, combining AI, Software, and Hardware to create helpful experiences.

New Taipei City, Taiwan

Embedded

Staff Software Engineer

In-Person

5,000+ Employees

5+ years of experience

AI · Enterprise SaaS · Consumer

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 rate limiter for an API.

System DesignMedium

Let's design a rate limiter for an API. The rate limiter should: Limit the number of requests a user can make to an API within a given time window. Support different rate limits for different users or API endpoints. For example, a free tier user might be limited to 10 requests per minute, while a premium user can make 100 requests per minute. Similarly, some API endpoints might have lower rate limits than others due to resource constraints. Be highly performant to avoid adding significant latency to API requests. Be scalable to handle a large number of users and API requests. Be reliable and prevent accidental overloads that could cause service disruptions. Describe the architecture, algorithms, and data structures you would use to implement such a rate limiter. Consider the following: How would you store the rate limit counters for each user or endpoint? What algorithm would you use to determine whether a request should be allowed or throttled? How would you handle distributed rate limiting across multiple servers? How would you ensure the rate limiter is resilient to failures? As an example, imagine a scenario where a social media platform wants to prevent users from spamming their API with excessive requests to post updates. The platform has millions of users and thousands of API endpoints. Some users pay for premium access with higher request limits. How would you design a robust and efficient rate limiter to handle this scale and these varying requirements?

Arrays

Strings

Two Pointers

Stacks

Binary Search

Sliding Windows

Linked Lists

Trees

Recursion

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Database Problems

Google

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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