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Internship Google Developer Jobs (NOW HIRING)

Deloitte

Google Data Engineering Consultant

Rosslyn, VA

$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 ...

Deloitte

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer II will help design, develop, test, and deploy data pipelines, platform ... Experience gained through internships, academic projects, or coursework using Google Cloud Platform ...

Miratech

Google DialogFlow Engineer (Python)

Atlanta, GA · On-site +1

Google DialogFlow Engineer (Python) Join the Bot Development team to work on the implementation of ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...

Aivra Health LLC

$80K - $100K/yr

Junior Developer United States Internship | Full-Time (40 hours/week) Pay Range: $80,000 - $100K ... Google Cloud Platform (Google Cloud Platform) * Docker * Git * CI/CD pipelines * Linux/Unix Testing ...

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How much do internship google developer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for internship google developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.
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What are the most commonly searched types of Google Developer jobs? The most popular types of Google Developer jobs are:
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Infographic showing various Internship Google Developer job openings in the United States as of June 2026, with employment types broken down into 63% Full Time, 26% Part Time, 1% Temporary, and 10% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.

Hardware Architecture Modeling Engineer, PhD, University Graduate

Google

Sunnyvale, CA • On-site

Full-time

Posted yesterday

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 190 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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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