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Google
Google

Organizing the world's information and making it universally accessible.

Senior Software Engineer, System Acceleration, Silicon

RoleEngineering
LevelSenior
WorkOn-site
TypeFull-time
Posted1 month ago
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About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

  • Develop and optimize software solutions for Google So Cs across various processing units (e.g., CPU, GPU, DSP), ensuring performance and power efficiency of Pixel products.

  • Design and implement highly optimized software components using low-level programming for various hardware architectures.

  • Leverage hardware acceleration and parallel processing features to optimize compute-intensive workloads and algorithms.

  • Conduct workload performance analysis and identify issues across the hardware/software stack to drive continuous efficiency improvements.

  • Contribute to the architectural design of future Google So Cs by providing software optimization knowledge to shape hardware/software integration.

Minimum qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.

  • 5 years of experience with software development in C or C++.

  • Experience in software optimization for performance and power on embedded systems or So Cs.

Preferred qualifications

  • Experience in data structures and algorithms.

  • Experience in optimizing high-throughput computational workloads through hardware-software co-design.

  • Experience with GPU programming (e.g., OpenCL, Vulkan Compute) or DSP-specific optimization.

  • Experience in low-level programming and debugging for processor architecture (e.g., ARM, x86, DSP).

  • Knowledge of operating system internals and their impact on system performance.

  • Knowledge of computer architecture, including memory hierarchies and pipeline designs.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Mid/L4

Mid/L4 · Accessibility Analyst

1 reports

$214,500

total per year

Base

$165,000

Stock

-

Bonus

-

$214,500

$214,500

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense