Software Engineer III, Full Stack, Pixel Biometrics

Google

Google develops next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

Warsaw, Poland

Frontend

Mid-Level Software Engineer

In-Person

2+ years of experience

AI · Consumer

Description For Software Engineer III, Full Stack, Pixel Biometrics

Google's software engineers are at the forefront of technological innovation, developing solutions that impact billions of users worldwide. This role is specifically within the Google Pixel team, which focuses on creating the world's most helpful mobile experience through advanced designs, techniques, and products. As a Software Engineer III, you'll be working on critical projects related to Pixel devices and services, particularly in the area of biometrics.

The position combines full-stack development with a focus on building visualization tools for machine learning systems. You'll be part of a team that brings together Google's artificial intelligence, software, and hardware to create transformative experiences for users globally. The role offers opportunities to work across the full technology stack, from frontend development to handling complex data visualizations.

This is an excellent opportunity for someone who wants to make a direct impact on Google's hardware products while working with cutting-edge technology. You'll be involved in developing tools that help teams understand and improve machine learning systems, particularly in the context of biometric applications for Pixel devices. The position offers the chance to work with some of the most advanced consumer electronics technology while being part of a team that shapes the future of mobile experiences.

The role requires a combination of technical expertise in frontend development and an understanding of data visualization, with the opportunity to work on projects that bridge the gap between complex backend systems and user-friendly interfaces. You'll be contributing to Google's mission of building helpful products while working in an environment that encourages innovation and technical growth.

Last updated 3 months ago

Responsibilities For Software Engineer III, Full Stack, Pixel Biometrics

Write product or system development code
Review code developed by other developers and provide feedback to ensure best practices
Build a web platform for teams to build visualizations of their machine learning (ML) system failures
Build visualizations for collected data and tools for data collection proctors

Requirements For Software Engineer III, Full Stack, Pixel Biometrics

JavaScript

TypeScript

Bachelor's degree or equivalent practical experience
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree
2 years of experience with data structures or algorithms
Experience with front end languages (e.g. JavaScript or TypeScript)

Google

Google develops next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

Warsaw, Poland

Frontend

Mid-Level Software Engineer

In-Person

2+ years of experience

AI · 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

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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