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Google Hardware Engineer Jobs in Austin, TX (NOW HIRING)

Google

CPU Power Modeling Engineer

Austin, TX · On-site

$122K - $161K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... Our team combines the best of Google AI, Software, and Hardware to create radically helpful ...

Google

CPU DFT Engineer

Austin, TX · On-site

Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience ... Our team combines the best of Google AI, Software, and Hardware to create radically helpful ...

Google

CPU Emulation Engineer, Silicon

Austin, TX · On-site

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related ... Our team combines the best of Google AI, Software, and Hardware to create radically helpful ...

Google

Staff CPU Physical Design Engineer

Austin, TX · On-site

$134K - $138K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... Our team combines the best of Google AI, Software, and Hardware to create radically helpful ...

Google

CPU Physical Design Engineer

Austin, TX · On-site

$134K - $138K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... Our team combines the best of Google AI, Software, and Hardware to create radically helpful ...

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Google Hardware Engineer information

See Austin, TX salary details

$50.6K

$144.9K

$194.8K

How much do google hardware engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for google hardware engineer in Austin, TX is $144,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $161,600.00 per year, depending on experience, location, and employer.

What is a Google hardware engineer?

A Google Hardware Engineer designs, develops, and tests hardware components for various Google products, such as Pixel devices, servers, and AI accelerators. They work on circuit boards, processors, and system architectures to improve performance, efficiency, and reliability. The role involves collaborating with software engineers, manufacturing teams, and researchers to bring innovative hardware solutions to market.

What does a typical day look like for a Google hardware engineer?

A typical day for a Google Hardware Engineer involves designing, prototyping, and testing hardware components, as well as reviewing schematics and collaborating on system integration. Engineers frequently work with cross-functional teams including software developers, product managers, and quality assurance to ensure seamless performance of devices. Tasks may range from hands-on lab work and debugging to documentation and design reviews. The balance of technical problem-solving and teamwork provides a dynamic and intellectually stimulating work environment.

What are the key skills and qualifications needed to thrive as a Google hardware engineer?

To thrive as a Google Hardware Engineer, you need a strong background in electrical or computer engineering, proficiency in circuit design, and experience with hardware prototyping and validation. Familiarity with industry-standard tools such as CAD software (e.g., Cadence, Altium), scripting languages, and systems like automated testing frameworks is typically required. Problem-solving, teamwork, and excellent communication are essential soft skills for collaborating on cross-functional projects. These skills are crucial for driving innovation, ensuring product quality, and delivering reliable hardware solutions at scale.

Does Google have hardware engineers?

Yes, Google employs hardware engineers who design and develop products such as Pixel smartphones, Nest devices, and data center hardware. These engineers typically work with hardware design tools, circuit boards, and collaborate with software teams to create integrated products.

How do I get into Google Hardware Engineer?

To become a Google Hardware Engineer, candidates typically need a strong background in electrical engineering, computer engineering, or related fields, along with experience in hardware design, testing, and manufacturing. Proficiency in tools like CAD software and knowledge of embedded systems are also important, and a bachelor's degree is usually required, with advanced degrees offering an advantage.

What are popular job titles related to Google Hardware Engineer jobs in Austin, TX?

For Google Hardware Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Google Hardware Engineer jobs in Austin, TX look for?

The top searched job categories for Google Hardware Engineer jobs in Austin, TX are:

Google Hardware Engineer jobs near you
Infographic showing various Google Hardware Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $144,945 per year, or $69.7 per hour.

CPU Power Modeling Engineer

Austin, TX • On-site

Google
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Free food

Great coworkers

People enjoy working here

Learn more about Googleexternal

$122K - $161K/yr

Full-time

Posted 12 days ago

Job description

info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 4 years of experience in industry (e.g., Hardware) or equivalent research.
  • Experience with low-power systems (e.g., dynamic and leakage, power estimation), data analytics and profiling.
  • Experience in flow automation (Python, C, C , Gemini).
  • Experience with data science.

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience in RTL design and low-power design techniques.
  • Expertise in vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL.
  • Familiarity with the concept of power management, DVFS.
  • Familiarity with CPU benchmarking, performance analysis and study.
  • Demonstrated knowledge of CPU microarchitecture and system level.

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: $138000 - $197000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Recruit a talented individual contributor engineer to own and drive several activities related to CPU architecture and system level energy modeling, engaged performance and power analysis, power optimization, simulation and rollups.
  • Develop a system level power model for battery life analysis and energy optimization.
  • Collaborate with the SoC and CPU Power Teams on various power projections and requirements for our CPU. This includes silicon power capture and profiling of CPUs for benchmarks and other daily workloads.
  • Perform workload analysis for battery life and tests definition for power analysis and optimization.
  • Perform data mining analysis at the RTL and gate-level to define relevant micro-architectural transactions for high-level power estimation.

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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