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Google Computer Engineering Jobs in Texas (NOW HIRING)

Google

CPU Global Design Lead, Silicon

Austin, TX · On-site

$109K - $142K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related ... Google's mission is to organize the world's information and make it universally accessible and ...

Google

Technical Solutions Engineer

Austin, TX · On-site

Bachelor's degree in Computer Science, Engineering, Mathematics or a related field and 5 years of ... About the job Google Cloud accelerates every organization's ability to digitally transform its ...

Google

Data Center Quality Engineering Manager

Austin, TX · On-site

$165K/yr

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Master's/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer). * Experience with GenAI frameworks (PaLM, Gemini). Integration ...

Google

Staff Wireless Network Engineer

Austin, TX · On-site

Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical ... About the job Google is proud to boast a network that provides service to millions of Internet ...

Yantran LLC

Google Cloud ML Engineer

Dallas, TX · Remote

$55.50 - $74/hr

Master's/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer). Experience with GenAI frameworks (PaLM, Gemini). Integration ...

AceStack LLC

Google Cloud ML Engineer- Vertex AI

Dallas, TX

$55.50 - $74/hr

... Computer Science, AI/ML, or related field • Must have GCP Certification- Google Cloud Certified Professional Machine Learning Engineer • Experience with GenAI frameworks (PaLM, Gemini) • ...

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Google Computer Engineering information

See Texas salary details

$45.2K

$113.2K

$128.1K

How much do google computer engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for google computer engineering in Texas is $113,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $122,500.00 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.
What are popular job titles related to Google Computer Engineering jobs in Texas? For Google Computer Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Google Computer Engineering jobs in Texas look for? The top searched job categories for Google Computer Engineering jobs in Texas are:
What cities in Texas are hiring for Google Computer Engineering jobs? Cities in Texas with the most Google Computer Engineering job openings:
Google Computer Engineering jobs near you
Infographic showing various Google Computer Engineering job openings in Texas as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $113,210 per year, or $54.4 per hour.

Low Power Design Methodology and Optimization Engineer

Google

Austin, TX • On-site

Full-time

Posted 26 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.
  • 8 years of experience in CPU low power design and optimization.
  • Experience with power analysis tools, power intent formats (UPF/CPF), and power reduction techniques.
  • Experience with RTL design, synthesis, and static timing analysis.

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture, or a related field.
  • Experience with power modeling, validation, and post-silicon power debug.
  • Proficiency in scripting languages (e.g., Python, Perl) for design automation.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Develop and implement advanced low power design methodologies for CPU architectures.
  • Perform detailed power analysis, estimation, and optimization across various design stages.
  • Collaborate with RTL design, verification, and physical design teams to integrate power-saving features.
  • Drive the adoption of innovative power reduction techniques and tools.
  • Contribute to the definition and validation of power management specifications.

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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