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Google Computer Engineering Jobs (NOW HIRING)

Google

DFT Engineer, Google Cloud

Sunnyvale, CA · On-site

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related ... We empower Google customers with breakthrough capabilities and insights by delivering AI and ...

Google

SoC DFT Engineer, Google Cloud

Sunnyvale, CA · On-site

$144K - $191K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... We empower Google customers with breakthrough capabilities and insights by delivering AI and ...

Google

Analog Design Engineer, Google Cloud

Sunnyvale, CA · On-site

$237K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field ... We empower Google customers with breakthrough capabilities and insights by delivering AI and ...

Google

Image Processing Engineer

Mountain View, CA · On-site

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a ... About the job The Platforms and Devices team encompasses Google's various computing software ...

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Google Computer Engineering information

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$48.5K

$121.5K

$137.5K

How much do google computer engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for google computer engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What does a Google Computer Engineer do?

A Google Computer Engineer designs, develops, tests, and maintains software and hardware systems that power Google's products and services. Their responsibilities can range from coding and debugging to optimizing large-scale infrastructure and ensuring security and reliability. They often work collaboratively with cross-functional teams to solve complex technical challenges and deliver innovative solutions that impact millions of users worldwide.

How do computer engineers at Google typically collaborate with cross-functional teams on large-scale projects?

At Google, computer engineers often work closely with product managers, designers, and other engineering teams to deliver complex, large-scale solutions. Collaboration usually involves regular meetings, code reviews, and the use of agile methodologies to track progress and align on goals. Engineers are expected to communicate effectively, contribute ideas, and integrate feedback from diverse team members. This collaborative environment not only fosters innovation but also helps computer engineers develop strong teamwork and leadership skills, which are valuable for career advancement within the company.

What is the difference between Google Computer Engineering vs Google Software Engineering?

AspectGoogle Computer EngineeringGoogle Software Engineering
Required CredentialsBachelor's or higher in Computer Engineering, Electrical Engineering, or related fieldsBachelor's or higher in Computer Science, Software Engineering, or related fields
Work EnvironmentDesigning hardware-software integration, embedded systems, hardware optimizationDeveloping, testing, and maintaining software applications and systems
Employer & Industry UsageHardware development teams, embedded systems, IoT devicesWeb, mobile, cloud services, and application development teams

Google Computer Engineering focuses on hardware-software integration, embedded systems, and hardware optimization, while Google Software Engineering emphasizes software development, coding, and system design. Both roles require strong technical skills but differ in their primary focus areas within Google's tech ecosystem.

What are the key skills and qualifications needed to thrive as a Google Computer Engineer, and why are they important?

To thrive as a Google Computer Engineer, you need a strong background in computer science fundamentals, programming proficiency (especially in languages like Python, Java, or C++), and typically a relevant degree in computer science or engineering. Familiarity with development tools, cloud platforms (such as Google Cloud), version control systems like Git, and sometimes specific certifications are highly valuable. Exceptional problem-solving, collaboration, and communication skills set top performers apart in this role. These abilities ensure you can design scalable solutions, contribute effectively to teams, and drive innovation in a fast-paced tech environment.
More about Google Computer Engineering jobs
What cities are hiring for Google Computer Engineering jobs? Cities with the most Google Computer Engineering job openings:
What states have the most Google Computer Engineering jobs? States with the most job openings for Google Computer Engineering jobs include:
What job categories do people searching Google Computer Engineering jobs look for? The top searched job categories for Google Computer Engineering jobs are:
Google Computer Engineering jobs near you
Infographic showing various Google Computer Engineering job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

ASIC Design Verification Engineer, Google Cloud

Google

Sunnyvale, CA • On-site

$159K - $194K/yr

Full-time

Posted 10 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 1 year of experience in design verification.
  • Experience with SystemVerilog/Verilog.

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with Universal Verification Methodology (UVM) testbenches and methodologies.
  • Experience developing and executing test plans.
  • Familiarity with coverage analysis tools (e.g., Verdi, Questa).
  • Proficiency in SystemVerilog, including object-oriented programming, SystemVerilog Assertions (SVAs) and functional coverage.
  • Excellent problem-solving and debugging skills.

About the job
In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As an Application-Specific Integrated Circuit (ASIC) Design Verification Engineer, you will be part of a team developing ASICs used to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $116000 - $166000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Plan the verification of complex digital design blocks, understand the design specification, and interact with design engineers to identify important verification scenarios.
  • Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM).
  • Identify and write all types of coverage measures for stimulus and corner-cases.
  • Debug tests with design engineers to deliver correct design blocks.
  • Close coverage measures to identify verification holes and to show progress towards tape-out.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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