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Entry Level Google Data Center Engineer Jobs in California

Supermicro

Data Center Service Engineer

San Jose, CA · On-site

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, and Enterprise IT. They are seeking a Service Engineer responsible for ...

Google

DFT Engineer, Google Cloud

Sunnyvale, CA · On-site

... Data Center operations, systems research, and much more. Individual pay is determined by factors ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

Google

Software Engineer III, AI/ML, Google Cloud

Sunnyvale, CA · On-site

$67.50 - $90.75/hr

About the job Google's software engineers develop the next-generation technologies that change how ... Data Center operations, systems research, and much more. Individual pay is determined by factors ...

CYNET SYSTEMS

Data Enter Systems Engineer

Milpitas, CA · On-site

$47 - $52/hr

Racking, Stacking, Cabling and maintenance the AI data center and lab. * Perform routine ... Work closely with engineers and developers to ensure smooth operation of the AI infrastructure.

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All JobsGoogle Data Center Engineer JobsEntry Level Google Data Center Engineer JobsEntry Level Google Data Center Engineer Jobs in California

Entry Level Google Data Center Engineer information

What is the difference between Entry Level Google Data Center Engineer vs Entry Level Data Center Technician?

AspectEntry Level Google Data Center EngineerEntry Level Data Center Technician
Required CredentialsTypically a bachelor's degree in computer science, engineering, or related field; certifications like CompTIA A+ or Network+ are commonHigh school diploma or equivalent; certifications like CompTIA A+ are often preferred
Work EnvironmentDesign, maintain, and optimize data center infrastructure; involves troubleshooting hardware and network issuesInstall, maintain, and repair hardware and cabling; perform routine equipment checks
Employer & Industry UsageGoogle and large tech companies; focus on cloud infrastructure and data center operationsData centers across various industries; focus on hardware support and maintenance

While both roles support data center operations, the Entry Level Google Data Center Engineer typically involves more technical design and troubleshooting, requiring a degree and specialized certifications. The Entry Level Data Center Technician focuses on hardware installation and maintenance, often with less formal education but essential for day-to-day data center functionality.

What does an entry level Google data center engineer do?

An Entry Level Google Data Center Engineer is responsible for supporting the operation, maintenance, and troubleshooting of Google's data center infrastructure. Their tasks typically include monitoring systems, assisting with hardware installations and repairs, performing routine inspections, and responding to technical issues under the guidance of senior engineers. This role is crucial in ensuring that Google’s massive network of servers and associated hardware run smoothly and efficiently, providing reliable service for users worldwide. Entry level engineers also follow strict protocols to maintain security and data integrity within the facility.

What are the common challenges faced by entry level Google data center engineers during their first year on the job?

As an Entry Level Google Data Center Engineer, you may encounter challenges such as adapting to the fast-paced and highly secure environment, learning to troubleshoot hardware and networking issues efficiently, and mastering Google’s unique infrastructure tools and protocols. Collaborating with experienced engineers and other cross-functional teams is essential, and you’ll need to quickly become comfortable following strict operational processes. Over time, these challenges become valuable learning opportunities that help you build strong foundational skills and prepare for more advanced responsibilities.

What are the key skills and qualifications needed to thrive as an entry level Google data center engineer?

To thrive as an Entry Level Google Data Center Engineer, you need a solid understanding of computer hardware, networking fundamentals, and basic troubleshooting skills, typically supported by a degree in IT, computer science, or a related field. Familiarity with data center infrastructure management tools, Linux/Unix systems, and certifications like CompTIA A+ or Network+ are often valuable. Strong analytical thinking, attention to detail, and effective teamwork help you excel in maintaining uptime and working safely in high-stakes environments. These skills ensure the reliability, efficiency, and security of critical data center operations.
What are the most commonly searched types of Google Data Center Engineer jobs in California? The most popular types of Google Data Center Engineer jobs in California are:
What are popular job titles related to Entry Level Google Data Center Engineer jobs in California? For Entry Level Google Data Center Engineer jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Entry Level Google Data Center Engineer jobs? Cities in California with the most Entry Level Google Data Center Engineer job openings:
Entry Level Google Data Center Engineer jobs near you
Infographic showing various Entry Level Google Data Center Engineer job openings in California as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution.

Data Center Operations Engineer

Cadence Design Systems, Inc.

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Summary
The Data Center Operations Engineer is responsible for supporting, maintaining, and deploying critical data center infrastructure with a strong focus on Linux-based systems, GPU server deployments, and InfiniBand networking. This role requires hands-on expertise in data center operations, cluster bring-up, hardware installation, and troubleshooting across compute, network, and GPU environments. The engineer will collaborate closely with global infrastructure, development, and operations teams to ensure reliable, secure, and scalable service delivery.
Key Responsibilities
  • Provide hands-on operational support for all data center projects, deployments, and repair activities.
  • Participate in an on-call rotation and provide on-site or remote support during maintenance windows and incidents.
  • Troubleshoot and resolve operational issues related to Linux servers, GPU platforms, networking, and storage infrastructure.
  • Support customer and internal deployments, ensuring timely and successful bring-up of GPU servers and clusters.
  • Perform InfiniBand fabric bring-up, switch configuration, subnet management, and troubleshooting.
  • Conduct daily health checks of Linux systems and infrastructure components, proactively identifying and mitigating risks.
  • Install, configure, test, and maintain server hardware (rack and stack, labeling, HDDs, memory, CPUs, RAID batteries, NICs, etc.).
  • Install, configure, and troubleshoot networking equipment including routers, switches, and terminal servers for out-of-band management.
  • Review and validate equipment deployments against approved design documentation and standards.
  • Support data center builds, refreshes, migrations, and expansions while adhering to quality and safety standards.
  • Coordinate with vendors and onsite staff for hardware delivery, diagnostics, replacement, and warranty services.
  • Utilize monitoring and alerting frameworks to identify issues, escalate appropriately, and ensure timely service restoration.
  • Maintain accurate documentation of operational procedures, system configurations, and runbooks.
  • Follow established incident management, escalation procedures, and service-level agreements (SLAs).
  • Collaborate with global teams across time zones to support operational initiatives and continuous improvement efforts.
  • Contribute to process improvement initiatives and ensure adherence to documented policies, processes, and procedures.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
  • Strong hands-on experience in Linux environments, including system administration, troubleshooting, and performance validation.
  • Proficiency with Linux command-line tools and shell scripting (Bash or equivalent).
  • Experience with cluster bring-up, driver installation, and system-level configuration.
  • Hands-on experience setting up and validating GPU servers in clustered environments.
  • Experience with end-to-end GPU testing in InfiniBand-based clusters.
  • Working knowledge of InfiniBand networking, including switch configuration and subnet management.
  • Solid understanding of networking fundamentals, including the OSI model and TCP/IP protocol suite (IP, ARP, ICMP, TCP, UDP, SMTP, FTP, TFTP).
  • Experience installing, configuring, and troubleshooting routers, switches, and terminal servers.
  • Familiarity with fiber and copper cabling, including IP and SAN deployments.
  • Experience managing incident tickets, maintaining acceptable ticket loads, and meeting SLAs.
  • Strong organizational skills with meticulous attention to detail in data center environments.
  • Ability to follow and enforce documented escalation procedures and operational policies.
  • Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional and global teams.

Preferred Qualifications
  • Experience supporting HPC, AI, or large-scale GPU environments.
  • Exposure to data center monitoring
  • Experience documenting operational processes and maintaining technical runbooks.
  • Familiarity with large-scale data center buildouts or refresh programs.

Physical Requirements
  • Ability to perform the essential functions of the role, including lifting, moving, and installing equipment weighing 50 pounds or more, with or without reasonable accommodation.
  • Ability to work in data center environments, including raised floors, equipment racks, and confined spaces.
  • Willingness to work flexible hours, including nights, weekends, and on-call rotations as required.

Work Environment
  • On-site data center environment with occasional remote coordination.
  • Interaction with hardware vendors, service providers, and internal engineering teams.
  • Fast-paced operational setting requiring attention to detail, adherence to safety standards, and rapid problem resolution.

The hourly range for California is $57.21 to $106.25 per hour. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Please note that the hourly range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
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