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Google Programmer Jobs in California (NOW HIRING)

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How much do google programmer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for google programmer in California is $39.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $50.77 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a Google programmer?

To thrive as a Google Programmer, you need expertise in computer science fundamentals, coding proficiency in languages such as Python, Java, or C++, and a relevant degree or equivalent experience. Familiarity with Google's development tools, cloud platforms like Google Cloud, and version control systems such as Git is usually expected. Strong problem-solving skills, effective communication, and the ability to collaborate in diverse, fast-paced teams are essential soft skills. These abilities enable programmers to tackle complex projects efficiently and contribute meaningfully to Google's innovative environment.

What does a Google programmer do?

As a Google Programmer, your workday typically involves collaborating with fellow engineers, product managers, and designers to plan, design, and implement new features or improve existing systems. You may spend significant time coding, participating in code reviews, attending daily stand-up meetings, and troubleshooting software issues. The role often encourages knowledge-sharing and cross-functional teamwork, offering exposure to a wide variety of projects and technologies. This dynamic environment supports continuous learning and professional growth, allowing you to expand your skillset while contributing to impactful products.

What is a Google programmer?

A Google Programmer, often referred to as a Software Engineer at Google, is responsible for designing, coding, testing, and maintaining software solutions. They work on a variety of projects, from improving search algorithms to developing large-scale infrastructure and AI systems. Engineers collaborate with cross-functional teams, follow coding best practices, and contribute to Google's innovative technology. The role typically requires strong programming skills, problem-solving abilities, and knowledge of data structures and algorithms.

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Infographic showing various Google Programmer job openings in California as of August 2026, with employment types broken down into 69% Full Time, 20% Part Time, 3% Temporary, and 8% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $81,158 per year, or $39 per hour.

Senior ASIC Design Verification Engineer, Google Cloud

Google

Sunnyvale, CA • On-site

Full-time

Re-posted 15 days ago


Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

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

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • 10 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.
  • Experience with the full verification life cycle.
  • Experience with three or more SoC projects/cycles.

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.
In this role, you will use your design and verification expertise to verify complex digital designs. You will collaborate closely with design and verification engineers in active projects and perform exceptional verification. Using your UVM and SystemVerilog coding and problem solving skills, you will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will be responsible for the full life cycle of verification, from verification planning to test execution, to collecting and closing coverage.
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: $163000 - $237000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Plan the verification of complex digital design blocks by understanding the design specification and interacting with design engineers to identify important verification scenarios.
  • Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools.
  • Identify and write all types of coverage measures for stimulus and corner-cases.
  • Debug tests with design engineers to deliver functionally correct design blocks.
  • Close coverage measures to identify verification holes and to show progress towards tape-out.

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