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Remote Rack Stack Jobs in Santa Clara, CA (NOW HIRING)

GPU Solution Architect

Santa Clara, CA · On-site +1

$74 - $97.50/hr

Santa Clara, CA (Remote preferred; occasional onsite as required - additional remote locations ... Deep expertise in at least one Day 2 stack area: GPU monitoring (DCGM), BMC/Redfish, firmware ...

Remote Rack Stack information

See Santa Clara, CA salary details

$52.3K

$158.3K

$223.7K

How much do remote rack stack jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote rack stack in Santa Clara, CA is $158,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,400.00 and $185,600.00 per year, depending on experience, location, and employer.

What is a remote rack stack technician?

A Remote Rack Stack technician is a professional responsible for assembling, installing, and maintaining server racks and related hardware in data centers or server rooms, often without being physically present onsite. They use remote management tools and coordinate with onsite staff to ensure that all equipment is properly installed, connected, and configured. Their responsibilities may include troubleshooting hardware issues, performing upgrades, and ensuring optimal performance of the IT infrastructure. This role is crucial for organizations that rely on remote data centers or have distributed IT environments.

What are the key skills and qualifications needed to thrive as a remote rack stack technician?

To thrive as a Remote Rack Stack Technician, you need strong knowledge of server and network hardware installation, troubleshooting skills, and a background in IT or data center operations. Familiarity with remote management tools, ticketing systems, and possibly certifications like CompTIA Server+ or Cisco CCNA is highly beneficial. Excellent communication, attention to detail, and the ability to follow precise instructions are critical soft skills for coordinating with on-site and remote teams. These skills ensure efficient and accurate hardware deployment, minimize downtime, and maintain data center reliability.

How does a remote rack stack technician typically collaborate with on-site teams to ensure timely issue resolution?

Remote Rack Stack technicians frequently work closely with on-site data center staff to coordinate hardware installations, troubleshooting, and repairs. Communication is primarily handled through ticketing systems, video calls, or instant messaging platforms to provide clear instructions or receive real-time feedback. Success in this role often relies on establishing strong relationships with local teams and maintaining detailed documentation to bridge the physical distance. As a result, effective collaboration and proactive communication skills are essential for timely and accurate issue resolution.

What is the difference between Remote Rack Stack vs Remote Network Technician?

AspectRemote Rack StackRemote Network Technician
CertificationsCompTIA Server+, Cisco CCNACompTIA Network+, Cisco CCNA
Work EnvironmentData centers, server rooms, hardware installation sitesNetwork operation centers, client sites, hardware troubleshooting
Industry UsageIT infrastructure, data center managementNetwork support, troubleshooting, and maintenance
Common TasksInstalling and configuring server racks, hardware setupConfiguring network devices, troubleshooting connectivity issues

Remote Rack Stack professionals focus on hardware installation and server rack setup within data centers, while Remote Network Technicians handle network configuration and troubleshooting. Both roles require technical certifications and work in similar environments, but their core responsibilities differ in hardware versus network support.

What are the most commonly searched types of Rack Stack jobs in Santa Clara, CA?

The most popular types of Rack Stack jobs in Santa Clara, CA are:

What are popular job titles related to Remote Rack Stack jobs in Santa Clara, CA?

For Remote Rack Stack jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Rack Stack jobs in Santa Clara, CA look for?

The top searched job categories for Remote Rack Stack jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Rack Stack jobs?

Cities near Santa Clara, CA with the most Remote Rack Stack job openings:

Infographic showing various Remote Rack Stack job openings in Santa Clara, CA as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $158,280 per year, or $76.1 per hour.

GPU Solution Architect

Inficare Technologies

Santa Clara, CA • On-site, Remote

$74 - $97.50/hr

Contractor

Posted 13 days ago


Job description

Job Title: GPU Solution Architect
Location: Santa Clara, CA (Remote preferred; occasional onsite as required - additional remote locations available in WA, OR, and TX)
Job Type: Contract
Duration: 12 Months
Experience: 8+ years
Job Overview
Our client is seeking a hands-on Senior GPU Solutions Architect to elevate Day 2 operations across their Cloud Partner ecosystem. In this role, you will work directly alongside partner engineers operating AI clouds at scale - solving real performance, reliability, and economics challenges once a cluster is installed and validated. This is a highly technical, hands-on role focused on measurable outcomes, not outsourced support.
Key Responsibilities
  • Diagnose and resolve hard Day 2 operations problems at scale alongside partner engineering teams
  • Help partners prepare operating models for new platforms, capacity, and services before customer adoption
  • Improve reliability, performance, and cost efficiency using metrics such as incident frequency, recovery time, utilization, and cost per token
  • Assess and improve partner Day 2 maturity across people, process, tooling, telemetry, security, and incident response
  • Convert validated solutions into operating procedures, reference architectures, automation scripts, and agentic workflows reusable across the partner ecosystem
Required Skills
  • 8+ years in production infrastructure, cloud engineering, solutions architecture, SRE, or HPC; or 5+ years of specialist-level work in large-scale GPU or AI infrastructure
  • Hands-on experience building, operating, or improving distributed infrastructure under real production load
  • Deep expertise in at least one Day 2 stack area: GPU monitoring (DCGM), BMC/Redfish, firmware/driver lifecycle; InfiniBand, NCCL, UFM; or high-performance storage (Lustre, IBM Storage Scale, WEKA, VAST Data)
  • Proficiency across Kubernetes or Slurm, GPU scheduling and multi-tenancy, Prometheus, Grafana or OpenTelemetry
  • Automation experience with Terraform, Ansible, Argo CD, or similar tooling
  • Strong Linux knowledge; Python, Bash, or equivalent scripting for measurement, diagnosis, and remediation
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent experience
Preferred Skills
  • Real-world experience operating a GPU cloud, HPC environment, or large-scale AI platform under customer load
  • Built or matured a 24/7 operations function including observability, incident management, and on-call design
  • Hands-on experience with rack-scale platforms such as GB200 or GB300, Spectrum-X, UFM, Base Command Manager, Mission Control, GPU Operator, or Network Operator
  • Demonstrated improvement in fleet health or unit economics through benchmarking, IaC, GitOps, or agent-based remediation
Location & Work Model
Remote preferred with proximity to Santa Clara, CA. Additional remote locations accepted in WA, OR, and TX. Occasional onsite visits to the client's Santa Clara office may be required.
Engagement Details
12-month contract engagement. 3 open positions. 4-round interview process.