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Google Hpc Jobs in California (NOW HIRING)

Supermicro

GM, Business Development

San Jose, CA · On-site

... HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon ... Existing executive relationships with organizations such as AWS, Microsoft Azure, Google Cloud ...

TylSemi

SoC Architect

San Jose, CA · On-site

$175K - $350K/yr

Proven track record of architecting complex SoCs for AI, HPC, or Networking * Deep understanding of ... Google, Microsoft, Amazon, Meta, OpenAI - they're all designing their own ASICs. The $50B custom ...

TylSemi

Emulation Lead/Principal Engineer

San Jose, CA · On-site

$237K - $286K/yr

TYLsemi is developing purpose-built connectivity chiplet for HPC/rack-scale AI systems. We are ... Google, Microsoft, Amazon, Meta, OpenAI - they're all designing their own ASICs. The $50B custom ...

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Google Hpc information

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 typical collaboration opportunities for someone working in a Google HPC 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 are the key skills and qualifications needed to thrive as a Google HPC 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 popular job titles related to Google Hpc jobs in California?

For Google Hpc jobs in California, the most frequently searched job titles are:

What job categories do people searching Google Hpc jobs in California look for?

The top searched job categories for Google Hpc jobs in California are:

Google Hpc jobs near you
Infographic showing various Google Hpc job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Network Operations Engineer, AI Networking

OpenAI

San Francisco, CA • On-site

$157K - $221K/yr

Full-time

Re-posted 26 days ago

Job description

About the Team
OpenAI's Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world's largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads.
About the Role
We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network.
The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil.
Key Responsibilities
  • Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers.
  • Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR).
  • Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks.
  • Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact.
  • Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance.
  • Support new AI cluster deployments, data center expansions, and infrastructure migrations in partnership with deployment and engineering teams.
  • Partner with cloud service providers (CSPs), colocation providers, Smart Hands teams, and hardware vendors to maintain production infrastructure.
  • Perform root-cause analysis (RCA) for production incidents and drive permanent corrective actions that eliminate recurring issues.
  • Build and maintain monitoring, telemetry, dashboards, and alerting to improve network observability and proactive issue detection.
  • Develop and improve operational runbooks, playbooks, troubleshooting documentation, and standard operating procedures.
  • Automate repetitive operational tasks using Python and infrastructure automation frameworks to reduce toil and improve efficiency.
  • Continuously identify opportunities to improve service reliability, scalability, operational maturity, and engineering efficiency.

Qualifications
  • Bachelor's degree in Computer Science, Network Engineering, or a related discipline, or equivalent practical experience.
  • 5+ years of experience operating large-scale data center, cloud, AI, or HPC network infrastructure.
  • Experience supporting production network environments with high-availability requirements.
  • Hands-on experience with one or more of the following platforms: Cisco NX-OS, Arista EOS, NVIDIA Spectrum / Cumulus Linux, or Juniper JunOS.
  • Strong knowledge of Layer 2 and Layer 3 networking, BGP, OSPF, ECMP, MLAG, LACP, VRFs, and VLANs.
  • Experience troubleshooting physical infrastructure, including fiber optics, transceivers, DAC/AOC cables, and high-speed Ethernet links.
  • Experience performing software upgrades, hardware maintenance, and production change management.
  • Excellent analytical and troubleshooting skills, with the ability to communicate technical risk clearly across teams.

Preferred Skills
  • Experience operating AI or High-Performance Computing (HPC) network environments.
  • Experience with NVIDIA AI networking technologies and GPU infrastructure.
  • Experience supporting RoCE v2 or RDMA-based Ethernet fabrics, with a strong understanding of Priority Flow Control (PFC), Explicit Congestion Notification (ECN), Data Center Quantized Congestion Notification (DCQCN), Quality of Service (QoS), and lossless Ethernet networking.
  • Experience supporting 100G, 200G, 400G, and 800G Ethernet networks.
  • Experience with GPU platforms including NVIDIA HGX, DGX, GB200, or equivalent AI infrastructure.
  • Experience supporting distributed storage environments such as VAST, DDN, or similar technologies.
  • Experience working with cloud service providers such as AWS, Azure, or Google Cloud, and with third-party colocation providers.
  • Experience with network monitoring and telemetry technologies, including Prometheus, Grafana, gNMI, streaming telemetry, SNMP, or similar tools.
  • Experience developing automation using Python, Git, REST APIs, Terraform, or similar automation frameworks.

Work Environment and On-Call
  • Participate in a 24x7 on-call rotation supporting mission-critical AI infrastructure.
  • Support time-sensitive production incidents, maintenance windows, capacity expansions, and network changes with a focus on service availability and minimal customer impact.
  • This role requires up to 30% travel to data center locations for new turnups and acceptance activities, as needed.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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