1

Gpu Ai Jobs (NOW HIRING)

Key Responsibilities AI/GPU Onboarding & Workload Architecture * Lead onboarding for customers deploying GPU clusters (bare metal, VMs, or hybrid). * Advise on cluster design: multi-GPU topology ...

AI Infrastructure Engineer

New York, NY · Remote

$140K - $165K/yr

Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment. * Infrastructure Optimization: Configure ...

Design, architect, and operate the Lab's hybrid environment -- AWS (EC2, VPC, S3, IAM) under least-privilege and on-premises GPU/AI compute systems; scale storage and GPU capacity to meet workload ...

We own the design, operation, and reliability of large-scale multi-GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific ...

Staff AI Infrastructure Engineer

Redwood City, CA · On-site +1

$131K - $172K/yr

We own the design, operation, and reliability of large-scale multi-GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific ...

Showing results 21-40

Gpu Ai information

See salary details

$13

$54

$71

How much do gpu ai jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for gpu ai in the United States is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $64.90 per hour, depending on experience, location, and employer.
Infographic showing various Gpu Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $114,281 per year, or $54.9 per hour.

GPU & Structured Cabling Project Manager

Sterling, VA • On-site

Total Deployment Solutions
IT Services • 1 - 5K employees

Full-time

Medical, PTO

Re-posted 27 days ago


Job description

About Total Deployment Solutions
Total Deployment Solutions (TDS) is a nationwide information technology services provider with 14 years of experience delivering innovative, business-critical solutions. We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop relocation, ensuring organizations transition seamlessly into new or evolving work environments. Our teams manage every detail, from workstation setup to ongoing desktop support, so clients can operate without disruption. Trusted by enterprise and data center partners, TDS continues to lead and adapt to the evolving technology landscape with a focus on reliability, precision, and long-term partnership.
Overview
We are seeking a highly motivated and detail-oriented GPU & Structured Cabling Project Manager to oversee and execute structured cabling projects in high-performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering, construction, and IT teams.
Responsibilities:
  • Manage end-to-end structured cabling projects for data centers, including planning, execution, and close-out.
  • Coordinate with internal teams, subcontractors, and vendors to ensure timely and quality delivery.
  • Interpret and implement cabling layouts for GPU and AI workloads, ensuring compliance with industry standards and client specifications.
  • Conduct site surveys, develop scope of work (SOW), and prepare project documentation.
  • Monitor project budgets, timelines, and resource allocation.
  • Ensure adherence to safety protocols and quality assurance standards on-site.
  • Provide regular updates to stakeholders and resolve project-related issues proactively.
  • Travel frequently (up to 75%) to data center locations across the U.S.
Qualifications:
  • 3-5 years of experience in structured cabling project management, preferably in data center environments.
  • Strong understanding of cabling standards (TIA/EIA, BICSI) and best practices.
  • Experience with GPU/AI-specific cabling layouts and high-density environments is highly desirable.
  • Proficiency in reading and interpreting technical drawings and network diagrams.
  • Excellent organizational, communication, and leadership skills.
  • Ability to manage multiple projects simultaneously in a fast-paced environment.
  • PMP or RCDD certification is a plus.
  • Valid driver's license and ability to travel extensively.

Job Type: Full-time
Benefits:
  • Health insurance
  • Paid time off

For more details, visit www.totaldeployment.com.