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Google Hpc Jobs (NOW HIRING)

CleanHarbors

Water Process Engineer

Deer Park, TX

$95K - $130K/yr

HPC Industrial Powered by Clean Harbors is looking for a Water Process Enginee r to join our team ... Proficient in the following: CAD Drawings, Google Earth, Adobe, Microsoft Office. * BS Chemical ...

Clean Harbors

Water Process Engineer

Deer Park, TX · On-site

$95K - $130K/yr

HPC Industrial Powered by Clean Harbors is looking for a Water Process Enginee r to join our team ... Proficient in the following: CAD Drawings, Google Earth, Adobe, Microsoft Office. * BS Chemical ...

Clean Harbors

Water Process Engineer

Deer Park, TX

$95K - $130K/yr

HPC Industrial Powered by Clean Harbors is looking for a Water Process Enginee r to join our team ... Proficient in the following: CAD Drawings, Google Earth, Adobe, Microsoft Office. * BS Chemical ...

Clean Harbors

Water Process Engineer

Deer Park, TX · On-site

$159K/yr

HPC Industrial Powered by Clean Harbors is looking for a Water Process Enginee rto join our team ... Proficient in the following: CAD Drawings, Google Earth, Adobe, Microsoft Office. * BS Chemical ...

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g. Cray, HPE, IBM) * Cisco ... Enterprise Grade Kubernetes cluster (RedHat OpenShift - preferred) and/or Google Anthos * Software ...

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

... Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL ... Multi-node HPC: MPI, domain decomposition, collective communication, strong/weak scaling * Sparse ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

... Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL ... Multi-node HPC: MPI, domain decomposition, collective communication, strong/weak scaling * Sparse ...

TylSemi

Design Verification Architect

San Jose, CA · On-site

$150K - $300K/yr

Deep understanding of SoC architectures in AI, HPC, or Networking domains * Experience with multi ... Google, Microsoft, Amazon, Meta, OpenAI - they're all designing their own ASICs. The $50B custom ...

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How much do google hpc jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for google hpc in the United States is $27.93, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $33.65 per hour, depending on experience, location, and employer.

What is Google HPC?

Google HPC (High Performance Computing) refers to Google's infrastructure and services that support large-scale computational tasks, often involving specialized hardware, parallel processing, and cloud-based resources. Jobs in this field typically require knowledge of distributed systems, programming skills, and familiarity with tools like Kubernetes or TensorFlow.

What is L1, L2, L3, and L4 in Google?

In the context of a Google HPC (High Performance Computing) environment, L1, L2, L3, and L4 typically refer to different levels of cache memory hierarchy or job priority levels. L1 cache is the fastest and closest to the processor cores, while L2 and L3 are larger but slightly slower caches. L4, when used, often denotes an even larger cache or memory level, or a specific tier in resource allocation, depending on the system architecture. Understanding these levels helps optimize computational performance and resource management in high-performance jobs.

What is a Google HPC engineer?

A Google HPC (High Performance Computing) engineer is a professional who designs, implements, and manages high-performance computing solutions using Google Cloud technologies. Their responsibilities include optimizing cloud infrastructure for computationally intensive workloads, supporting scientific and engineering applications, and ensuring efficient use of resources. These engineers work with clusters, parallel computing, and specialized hardware to enable large-scale data processing and advanced research. They collaborate closely with research teams, software developers, and IT specialists to deliver scalable and reliable HPC solutions.

What are the key skills and qualifications needed to thrive as a Google HPC (High Performance Computing) Engineer, and why are they important?

To thrive as a Google HPC Engineer, you need a strong background in computer science, parallel computing, and large-scale system architecture, often supported by a relevant degree and experience with HPC workloads. Familiarity with cloud platforms (like Google Cloud Platform), job schedulers (Slurm, PBS), and programming languages (Python, C/C++, MPI) is typically required, along with relevant certifications. Excellent problem-solving, collaboration, and communication skills help you work efficiently with cross-functional teams and clients. These skills and qualities are vital to optimize performance, ensure system reliability, and deliver scalable computing solutions for complex workloads.

What are the typical collaboration opportunities for someone working in a Google HPC (High Performance Computing) role?

Professionals in a Google HPC role frequently collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to design and optimize scalable computing solutions. You’ll often work closely with researchers to understand their computational needs and with cloud infrastructure teams to ensure efficient resource allocation. This collaborative environment helps you stay at the forefront of technological advances, while also allowing you to develop expertise in both technical and interpersonal skills. Regular interactions with other teams foster innovation and provide ample learning opportunities.

Which job is highly paid in Google?

In Google, senior roles such as Staff Software Engineer, Engineering Manager, and Technical Lead tend to be the highest paid positions, often earning six-figure salaries plus bonuses and stock options. These roles require extensive experience, advanced technical skills, and leadership capabilities. Compensation varies based on location, experience, and performance.

What is the future of HPC?

The future of high-performance computing (HPC) involves increasing computational power through advancements in hardware such as GPUs and specialized processors, as well as software optimization for parallel processing. HPC professionals will need skills in programming, system architecture, and data management to support applications in scientific research, AI, and big data analytics. As demand grows, roles in HPC are expected to expand across industries requiring large-scale data processing and simulation capabilities.
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Google Hpc jobs near you
Infographic showing various Google Hpc job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $58,088 per year, or $27.9 per hour.

Engineering Director, Data Center Hardware

Google

Sunnyvale, CA • On-site

Full-time

Posted 11 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

34th of 192 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, System Architecture, a related field, or equivalent practical experience.
  • 15 years of experience in hardware development, systems engineering, or architecture within a high-velocity, high-demand environment (e.g., hyperscale cloud providers, high-performance computing).
  • Experience evaluating, managing, and partnering with JDMs and CMs to bring hardware to market.

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Science, or a related technical field.
  • Expert-level knowledge of Signal Integrity (SI) and Power Integrity (PI) challenges in high-speed, high-power designs (e.g., PCIe Gen 5/6, 400G/800G networking, high-TDP AI accelerators).
  • Understanding of PCB manufacturing variations, material science and how they impact system reliability at data-center scale.
  • Demonstrated ability to navigate ambiguity, resolve complex technical trade-offs, and drive consensus across large, globally distributed engineering organizations.
  • Technical expertise spanning networking architectures, ASIC/TPU/GPU integration, and enterprise/cloud server technology.

About the job
As the Director of Hardware Engineering, you will set the technical vision and lead the execution for our next generation of compute and machine learning infrastructure. Operating at the highest levels of technical leadership, you will be the driving force behind the integration of complex ASICs, TPUs, GPUs, and advanced networking hardware into our data center roadmap.
This role requires a hardware leader who has lived through the trenches of high-velocity development and understands the brutal realities of deploying at hyperscale. You will bridge the gap between bleeding-edge silicon design and massive volume data center deployment, anticipating fleet-level challenges before they happen. You will guide cross-functional teams, align external JDMs and CMs, and ensure our hardware scales reliably meet the unrelenting demands of our global infrastructure.
Our Platforms Infrastructure Engineering team designs and builds the
hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $275000 - $383000 (USD) 30% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Lead the systems engineering strategy for next-generation data center hardware, seamlessly integrating cutting-edge networking, custom ASICs, TPUs, GPUs, and standard server technologies.
  • Drive products from v0 architecture through to volume production and data center deployment. Anticipate, troubleshoot, and mitigate complex, fleet-wide deployment challenges in a high-demand HPC environment.
  • Steer technical engagements and partnerships with JDMs and CMs to ensure high-quality, high-yield volume manufacturing.
  • Serve as the ultimate technical authority on system-level performance, heavily leveraging your deep expertise in signal integrity, power integrity, and managing complex PCB variations across massive production runs.
  • Elevate the engineering standards across the organization. Provide technical guidance and mentorship to senior engineers across hardware, silicon, and data center operations teams.

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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