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Tpu Jobs (NOW HIRING)

ASIC Design Verification Engineer, TPU

Sunnyvale, CA · On-site

$159K - $194K/yr

You will have an opportunity to drive 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 ...

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 ...

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 ...

TPU Kernel Engineer

San Francisco, CA · On-site

$280K - $850K/yr

About the Role As a TPU Kernel Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A ...

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$29K

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How much do tpu jobs pay per year?

As of Sep 8, 2026, the average yearly pay for tpu in the United States is $88,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $112,000.00 per year, depending on experience, location, and employer.

What is a TPU?

A TPU (Tensor Processing Unit) job typically involves working with specialized hardware accelerators designed to enhance machine learning workloads, particularly deep learning models. These jobs may include roles in AI research, model optimization, and deploying machine learning applications at scale. Professionals in TPU-related roles often have expertise in TensorFlow, neural networks, and high-performance computing.

What are the typical daily responsibilities of a TPU?

As a TPO, your daily tasks usually involve updating the progress of ongoing technical projects, maintaining documentation systems, and ensuring all stakeholders are informed of key developments. You will collaborate closely with engineers, project managers, and other team members to gather data and report on milestones or issues. Additionally, you may be responsible for organizing and participating in status meetings, helping to identify roadblocks, and keeping workflow tools up to date. The role requires excellent multitasking and organizational skills to manage multiple projects simultaneously while delivering accurate information in a fast-paced environment.

What are the key skills and qualifications needed to thrive in the TPU position, and why are they important?

To thrive as a TPO (Technical Project Updater), you need strong project management abilities, technical knowledge relevant to the industry, and keen attention to detail, typically gained through a bachelor's degree in a related field and experience managing technical documentation. Familiarity with project management software like Jira or Asana, and proficiency in updating technical databases and tracking systems, are important. Excellent communication, organization, and time management skills help TPOs manage multiple updates and cross-team collaboration efficiently. These competencies are vital to ensure project statuses are accurately tracked and communicated, leading to better coordination and timely project delivery.

More about Tpu jobs

What cities are hiring for Tpu jobs?

Cities with the most Tpu job openings:

What are the most commonly searched types of Tpu jobs?

The most popular types of Tpu jobs are:

Infographic showing various Tpu job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $88,611 per year, or $42.6 per hour.

TPU SoC Integration Engineer, Cloud

Google

Sunnyvale, CA • On-site

Full-time

Re-posted 8 days ago


Google rating

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


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.
  • 8 years of experience in ASIC design or RTL design.
  • Experience with SoC design and integration.
  • Experience with multi-chiplet SoC integration.
  • Experience with SoC Design for Testing (DFT) planning.
  • Experience scripting in Python or Perl or Tcl.

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with SoC signoff-Logic Equivalence Check (LEC)/Lint/Unified Power Format (UPF)/CDC/Reset Domain Crossing (RDC) flows.
  • Cross-functional experience with Design Verification (DV), Physical Design (PD), Clock Domain Crossing (CDC) and DFT teams.
  • Experience designing and constructing ASIC Input/Output (IO) pad-rings.
  • Knowledgeable in 3DIO methodology, voltage and clock domain partitioning.
  • Knowledgeable in ASIC top-level Static Timing Analysis (STA) and clock planning.

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 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 an ASIC SoC Integration Engineer, you will drive the construction and architectural execution of advanced multi-chiplet SoC integration projects. This role demands deep cross-domain collaboration, working closely with ASIC Packaging and Interposer teams to orchestrate complex interposer planning and implementation, alongside multi-die DFT connectivity and packaging routing. You will leverage your understanding of multi-die integration concerns, 3DIO technologies, and voltage and clock domain partitioning to build robust systems while addressing critical physical design implementation concerns. Utilizing your experience in architecting RTL solutions with software-based construction, instantiation, and generation, you will manage SoC IP integration and participate in layout design decisions and SoC-level sign-off activities, shaping the future of high-performance silicon layout. You will own the upper levels of RTL hierarchy up-to the package level and work closely with the Verification and Emulation teams to debug connectivity issues and optimize RTL compilation. You will manage RTL deliverables to all stakeholders and plan RTL integration activities to meet project schedules.
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 team behind Google's groundbreaking innovations, empowering the development of our 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 - $236000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Lead advanced SoC integration projects from concept to final delivery, managing project milestones, deliverables, and cross-functional schedules.
  • Partner with ASIC teams on complex interposer and package design, and resolve multi-die physical design challenges leveraging 3DIO and domain partitioning expertise.
  • Utilize software-based construction to seamlessly integrate SoC IPs and maintain complete ownership of the upper-level RTL hierarchy up to the package level.
  • Collaborate closely with Verification and Emulation teams to resolve complex connectivity issues and optimize system compilation.
  • Participate in critical layout design decisions and SoC-level sign-off activities to ensure robust, high-performance silicon delivery.

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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