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Internship Data Center Cabling Jobs in California

$196K/yr

The Role The Deployment Manager - Global Data Center Build and Deploy is responsible for the end-to ... This role leads rack integration, high-density inter-rack cabling, and close coordination with ...

Data Center Installer

Santa Clara, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Center Installer works inside clients' data centers delivering, positioning, and ... Cable server racks by patching and dressing fibre and copper cables (in certain regions, and ...

The Data Center Technician (DCT) plays a key role in guiding the flow of physical technology ... • Cable Matrix: read and interpret cable matrix to correctly lace cables port to port. • ...

Data Center Technician 1

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Follow DataBank Cabling Standards. * Help maintain accurate inventory of work tools, equipment, and ... Experience with data center infrastructure such as generators, UPS, DC Plant, HVAC, Fire ...

Data Center Technician 1

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Follow DataBank Cabling Standards. * Help maintain accurate inventory of work tools, equipment, and ... Experience with data center infrastructure such as generators, UPS, DC Plant, HVAC, Fire ...

Data Center Solutions Architect

Pleasanton, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role focuses on the design and support of data center physical infrastructure solutions, including structured cabling, fiber and copper connectivity, pathways, spaces, cabinets, racks, and ...

Showing results 41-60

Internship Data Center Cabling information

What is the difference between Internship Data Center Cabling vs Data Center Technician?

AspectInternship Data Center CablingData Center Technician
CertificationsNone required or basic certificationsCompTIA A+, Cisco CCNA often preferred
Work EnvironmentEntry-level, supervised, training-focusedHands-on, technical, operational environment
ResponsibilitiesAssisting with cabling setup, learning proceduresMaintaining, troubleshooting, and installing data center equipment

Internship Data Center Cabling typically involves entry-level tasks like assisting with cabling and learning data center operations under supervision. In contrast, a Data Center Technician performs more advanced, hands-on technical work, including troubleshooting and maintaining data center infrastructure. The internship serves as a training period, while the technician role requires more experience and certifications.

What are the most commonly searched types of Data Center Cabling jobs in California?

The most popular types of Data Center Cabling jobs in California are:

What cities in California are hiring for Internship Data Center Cabling jobs?

Cities in California with the most Internship Data Center Cabling job openings:

Deployment Manager - Global Data Center Build and Deploy

Cerebras Systems

On-site, Remote

$196K/yr

Full-time

Posted 27 days ago


Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
The Role
The Deployment Manager - Global Data Center Build and Deploy is responsible for the end-to-end execution of AI cluster deployments within large-scale data centers, specifically taking from facility ready for power and cooling to customer hand-off. This role leads rack integration, high-density inter-rack cabling, and close coordination with facilities, networking, and operations teams to deliver Cerebras Wafer Scale Engine based clusters safely, on schedule, and to strict quality standards.
The ideal candidate has deep experience deploying AI infrastructure, understands the operational demands of high-power, high-thermal-density environments, and excels at troubleshooting complex cabling and integration issues. This role requires providing directions to technicians on the Data Center floor, and resolve any issue blocking build and deploy in data centers. The role requires traveling and physically present at Data Center weeks at a time.
Responsibilities
AI Cluster Deployment & Rack Integration
  • Lead deployment of AI clusters including Cerebras Wafer Scale Engine, high-speed switches, storage, and rack-level infrastructure
  • Coordinate rack integration of high-density compute, specialized racks, and associated power components (PDUs, busway drops)
  • Ensure deployment aligns with AI cluster architecture, topology, and scaling requirements
High-Density Inter-Rack & Intra-Rack Cabling
  • Manage installation of high-speed interconnect cabling (fiber and copper) supporting AI fabrics (east-west traffic) in Data Centers
  • Coordinate inter-rack and intra-rack cabling for AI clusters, including spine-leaf and pod-level designs
  • Ensure proper routing, airflow clearance, labeling, and testing of all AI-related cabling
Facilities & Infrastructure Coordination
  • Work closely with facilities teams on power capacity, cooling readiness, containment, and grounding for dense racks
  • Coordinate deployment sequencing with facility commissioning milestones
  • Validate white-space readiness before rack and cluster deployment
  • Provide directions to technicians on the data center floor.
Troubleshooting & Issue Resolution
  • Troubleshoot cabling, connectivity, and integration issues impacting AI cluster bring-up
  • Lead root-cause analysis for deployment blockers related to cabling, hardware placement, or facilities dependencies
  • Support validation, burn-in, and handoff of AI clusters to operations teams
Cross-Functional Execution
  • Partner with network, server, AI platform, and operations teams to align on deployment plans and readiness
  • Manage multiple parallel AI cluster deployments across sites or availability zones
  • Communicate risks, dependencies, and milestones clearly to stakeholders
Quality, Standards & Documentation
  • Ensure deployments follow company design standards, structured cabling best practices, and AI deployment playbooks
  • Validate as-built documentation, labeling accuracy, and deployment checklists
  • Maintain accurate records for cluster configuration, cabling, and deployment status
Safety & Risk Management
  • Enforce EHS, data center safety, and access control procedures during deployment
  • Ensure safe handling of heavy, high-power GPU equipment
  • Proactively identify and mitigate deployment and operational risks

Qualifications
  • Bachelor's degree in Engineering, IT, or equivalent practical experience
  • 10+ years of experience in data center deployments, infrastructure delivery, or integration roles
  • Ability to provide directions to technicians on data center floor.
  • Hands-on experience deploying hyperscale AI, ML, or HPC infrastructure
  • Strong experience with structured cabling in high-density environments, and troubleshooting
  • Proven ability to manage complex, cross-functional deployment programs
  • Familiarity with high-speed fabrics (e.g., InfiniBand, high-bandwidth Ethernet)
  • Experience with DCIM or deployment tracking systems
  • Strong attention to detail and operational rigor
  • Ability to perform under tight timelines and production constraints

Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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