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Google Hpc Jobs (NOW HIRING)

HPC Engineer, Services

$100K - $150K/yr

Familiarity with cloud computing platforms such as AWS, Azure or Google Cloud * High-level knowledge of HPC, schedulers, MPI, containers, kubernetes, and GPU computing * Familiarity with scientific ...

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How much do google hpc jobs pay per hour?

As of Jun 5, 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 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.

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.
More about Google Hpc jobs
What states have the most Google Hpc jobs? States with the most job openings for Google Hpc jobs include:
Infographic showing various Google Hpc job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $58,088 per year, or $27.9 per hour.

Software Engineer, Cloud HPC and Accelerator Networking

Google

Seattle, WA • On-site

$68.25 - $88.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience with Cloud compute platforms (e.g., Kubernetes, Cloud Functions).

Preferred qualifications:
  • Experience with Tensor Processing Units in Google Kubernetes Engine.
  • Experience designing and building with core infrastructure services from Google Cloud Platform.
  • Experience collaborating across software and hardware teams, to deliver critical infrastructure products and features.
  • Comfortable across the cloud infrastructure technical stack from APIs to containers to system-level details like Peripheral Component Interconnect Express (PCIe).

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Cloud HPC and Accelerator Networking team (CHiPCAN) delivers the guest networking stack for Google Cloud's GPU, TPU, and HPC virtual machines (VMs). Customers training the models or running demanding HPC workloads need high-performance, reliable networking on their GCE VMs and GKE clusters. Every VM in the Cloud needs to connect to the world and other VM's. Our team makes that happen by producing high-performance networking devices and virtualizing the core connection between the in-guest driver and the host services and networking infrastructure.
In this role you will partner across many organizations to define and deliver the next generation of VMs and bare-metal hosts that Google Cloud's key customers will use to train frontier models, run inference, and otherwise advance the next generation AI computing.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Provide technical leadership on high-impact projects.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Lead the specification, design, and delivery of the networking experience for the next generation of these accelerator machines in Google Compute Engine (GCE).
  • Drive critical, high-impact, business-attached products and features.

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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