Embedded Software Engineering Manager, Silicon Platform Security Software

Google

Google is a global technology company that focuses on search, cloud computing, software, and hardware products.

Berlin, Germany

$150,000 - $250,000

Embedded

Staff Software Engineer

In-Person

5,000+ Employees

8+ years of experience

AI · Consumer

Description For Embedded Software Engineering Manager, Silicon Platform Security Software

Google's Pixel team is seeking an Embedded Software Engineering Manager to lead and grow a team focused on embedded security software. This role combines technical leadership with people management, requiring expertise in embedded systems and security software development. The position is integral to Google's Pixel team, which is dedicated to creating the world's most helpful mobile experience through advanced designs, techniques, and AI integration.

As a Software Engineering Manager, you'll oversee multiple teams and locations, managing both technical projects and team development. You'll be responsible for setting technical direction, managing product strategy, and ensuring the delivery of large-scale projects across international sites. The role requires strong leadership skills to guide engineers in optimizing code and achieving project goals.

The position offers the opportunity to work at the intersection of hardware and software, specifically focusing on security aspects of Google's Pixel devices. You'll be part of shaping the future of mobile technology, working with cutting-edge technology and some of the most advanced designs in consumer electronics.

This role is perfect for someone who combines deep technical knowledge in embedded systems with strong leadership abilities. You'll be working with Google's artificial intelligence, software, and hardware teams to create transformative user experiences. The position offers the chance to impact millions of users while working with some of the industry's best talent in a collaborative, innovative environment.

Last updated 2 months ago

Responsibilities For Embedded Software Engineering Manager, Silicon Platform Security Software

Set and communicate team priorities that support the broader organization's goals
Set clear expectations with individuals based on their level and role
Develop the mid-term technical direction and roadmap within the scope of your team
Design, guide and vet systems designs within the scope of the broader area
Review code developed by other engineers and provide feedback to ensure best practices

Requirements For Embedded Software Engineering Manager, Silicon Platform Security Software

Rust

Bachelor's degree or equivalent practical experience
8 years of experience with software development in one or more programming languages (e.g. C, C++, RUST)
3 years of experience in a technical leadership role
2 years of experience in people management, supervision/team leadership role
Master's degree or PhD in Engineering, Computer Science, or related technical field (preferred)
3 years of experience working in cross-functional or cross-business projects (preferred)

Benefits For Embedded Software Engineering Manager, Silicon Platform Security Software

Medical Insurance

Vision Insurance

Dental Insurance

Parental Leave

Equal opportunity employer
Inclusive work environment
Comprehensive medical coverage
Parental leave benefits

Google

Google is a global technology company that focuses on search, cloud computing, software, and hardware products.

Berlin, Germany

$150,000 - $250,000

Embedded

Staff Software Engineer

In-Person

5,000+ Employees

8+ years of experience

AI · Consumer

Google

Angle between clock hands?

Data Structures & AlgorithmsHard

Design a function that calculates the angle between the hour and minute hands on a clock, given the hour and minute.

Arrays

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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