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Google Internships Jobs (NOW HIRING)

JerseySTEM, Inc.

TECH300: Google Admin Team Lead

K-12 educators, retirees, veterans, interns, and students are exempt from the deposit. Overview ... Manage a team of Google Administrators responsible for user accounts, security settings, and ...

Signal Advisors

Internships 2026

Detroit, MI · On-site

$14.75 - $20/hr

Strong proficiency in the Google Suite * Experience with AI tooling * Strong attention to detail ... Interns may assist with reconciliations, expense tracking, financial reporting support, and process ...

Deloitte

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/yr

Experience gained through internships, academic projects, or coursework using Google Cloud Platform Deloitte is committed to providing reasonable accommodations for people with disabilities. If you ...

Deloitte

Google Data Engineering Consultant

Rosslyn, VA · On-site

$130K - $156K/yr

Experience gained through internships, academic projects, or coursework using Google Cloud Platform Qualifications: Join Deloitte's AI & Engineering team to help clients modernize technology ...

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How much do google internships jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for google internships in the United States is $17.79, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $18.51 per hour, depending on experience, location, and employer.

What types of projects do Google interns typically work on, and how much responsibility can I expect to have?

Google interns often work on meaningful, real-world projects that directly impact products and services used by millions of users. Depending on your team and skill set, you may contribute to software development, user research, data analysis, or operational projects. Interns are encouraged to take ownership of their work, and it's common to collaborate closely with full-time employees, mentors, and other interns. This hands-on experience provides valuable exposure to Google's work culture and the opportunity to develop technical and professional skills. You'll also regularly participate in team meetings and may present your work to stakeholders.

What is the difference between Google Internships vs Google Software Engineer Internships?

AspectGoogle InternshipsGoogle Software Engineer Internships
Required CredentialsCurrently enrolled students, relevant courseworkCurrently enrolled students, computer science or related degree
Work EnvironmentVaries by department, collaborative, innovativeTechnical projects, coding, software development
Employer & Industry UsageGoogle offers various internships across departmentsSpecific to software engineering roles within Google

Google Internships encompass a broad range of roles across departments, including marketing, sales, and operations. In contrast, Google Software Engineer Internships focus specifically on software development, coding, and technical projects. Both require relevant academic background, but the Software Engineer Internships are more technical and specialized, often involving coding assessments and technical interviews. Understanding these differences helps applicants target the right internship based on their skills and career goals.

What are Google Internships?

Google Internships are temporary, paid positions offered by Google to students and recent graduates. These programs provide hands-on experience in various fields such as engineering, marketing, design, and business operations. Interns work on real projects alongside full-time employees, gaining insight into Google's company culture and innovative practices. The internships typically last for 10-12 weeks and are available in multiple locations worldwide. Participating in a Google Internship can be a valuable stepping stone toward a career in the tech industry.

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

To thrive as a Google Intern, you generally need strong academic performance in a relevant field (such as computer science, engineering, business, or design), analytical thinking, and problem-solving skills. Familiarity with Google’s core technologies, such as programming languages (Python, Java, C++), collaboration tools (Google Workspace), and version control systems (Git), is often expected. Standout candidates also demonstrate curiosity, adaptability, teamwork, and effective communication. These skills and qualities are crucial for making meaningful contributions, learning quickly, and collaborating effectively within Google’s dynamic and innovative environment.
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Google Internships jobs near you
Infographic showing various Google Internships job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $37,000 per year, or $17.8 per hour.

Hardware Architecture Modeling Engineer, PhD, University Graduate

Google

Sunnyvale, CA • On-site

Full-time

Posted 25 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:
  • PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
  • Experience in any one domain of computer engineering or silicon engineering through internships, academic research, or publications (e.g., co-design, digital design, architecture).
  • Experience programming in C .

Preferred qualifications:
  • Research or internship experience in AI/ML hardware acceleration.
  • Experience with publications in peer-reviewed journals and conferences.
  • Ability to demonstrate significant understanding of relevant domains such as architecture, digital design, and performance.
  • Excellent problem-solving and communication skills, with the ability to work effectively in a team environment.

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 a Hardware Architecture Modeling Engineer, you will work with hardware and software architects to model, analyze, and define next-generation Tensor Processing Units (TPUs).
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: $138000 - $198000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Develop architectural and micro architectural models to enable quantitative analysis.
  • Conduct performance and power analyses and quantitatively evaluate proposals.
  • Contribute to Machine Learning workload characterization, benchmarking, and hardware-software co-design.
  • Collaborate with partners in hardware design, software, compiler, Machine Learning (ML) model and Research teams for hardware/software codesign.
  • Propose capabilities and next-generation TPUs and chip roadmap, and contribute to TPU chip 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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