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Remote Hpc Engineer Jobs (NOW HIRING)

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

Remote Duration: Fulltime Must-have * NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g. Cray, HPE, IBM) * Cisco UCS C885A * Docker Good to have * DevOps Automation * CI/CD ...

The Pennsylvania State University

$86K - $129K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Maintain existing HPC systems by ensuring compute node and storage availability to end-users

Vultr

Strategic Technical Account Manager GPU

$115K - $140K/yr

... remote office setup in first year + $400 each following year Internet reimbursement up to $75 per ... Qualifications * 2-5+ years as an AI/ML Engineer, AI/ML Ops, Technical Account Manager, HPC ...

Cornelis Networks

Senior Software Engineer - SAI/SDK

Austin, TX · On-site +1

$121K - $160K/yr

At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon ... This is a remote position for employees residing within the United States. We offer a competitive ...

Cornelis Networks

Senior Software Engineer - SAI/SDK

Austin, TX · On-site +1

$121K - $160K/yr

At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon ... This is a remote position for employees residing within the United States. We offer a competitive ...

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All JobsRemote Hpc Engineer Jobs

Remote Hpc Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do remote hpc engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote hpc engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote HPC Engineer, and why are they important?

To thrive as a Remote HPC Engineer, you need a solid background in computer science or engineering, expertise in high-performance computing architectures, and experience with parallel programming. Familiarity with HPC job schedulers (like Slurm), Linux systems, distributed storage, and relevant certifications (such as CompTIA Linux+ or HPC-specific credentials) are commonly required. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for addressing complex technical challenges remotely. These competencies ensure efficient system performance, seamless collaboration, and successful support of computational research or enterprise workloads.

What are Remote HPC Engineers?

Remote HPC (High Performance Computing) Engineers are professionals who design, implement, and manage high-performance computing systems, typically from a remote location. They work with powerful computer clusters and supercomputers to support complex computations in fields like scientific research, engineering, and data analysis. Their responsibilities include configuring hardware and software, optimizing system performance, troubleshooting issues, and ensuring the security and reliability of HPC resources. By working remotely, these engineers can support organizations and research teams around the world without needing to be physically present at the data center.

What is the difference between Remote Hpc Engineer vs Remote Cloud Engineer?

AspectRemote Hpc EngineerRemote Cloud Engineer
Required CredentialsBachelor's in Computer Science or related, certifications like HPC or LinuxBachelor's in Computer Science or related, cloud certifications (AWS, Azure)
Work EnvironmentHigh-performance computing clusters, research labs, data centersCloud platforms, virtual environments, cloud service providers
Employer & Industry UsageResearch institutions, scientific organizations, tech companiesTech firms, startups, enterprises using cloud infrastructure
Common Search & ComparisonYesYes

The main difference between a Remote Hpc Engineer and a Remote Cloud Engineer lies in their focus areas. Hpc Engineers specialize in high-performance computing systems used for scientific and research purposes, while Cloud Engineers focus on designing and managing cloud-based infrastructure. Both roles require technical expertise and certifications, but their work environments and industry applications differ significantly.

How do Remote HPC Engineers typically collaborate with on-site teams to manage high-performance computing clusters?

Remote HPC Engineers often rely on robust communication tools and version control systems to coordinate with on-site system administrators, researchers, and IT staff. They participate in regular virtual meetings to discuss cluster performance, resolve technical issues, and plan for upgrades or maintenance. Secure remote access protocols allow engineers to monitor, troubleshoot, and configure systems from afar, but effective collaboration also depends on clear documentation and periodic knowledge sharing sessions. Building strong relationships with on-site personnel helps ensure smooth operations and prompt resolution of any hardware or software challenges.
More about Remote Hpc Engineer jobs
What cities are hiring for Remote Hpc Engineer jobs? Cities with the most Remote Hpc Engineer job openings:
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Remote Hpc Engineer jobs near you
Infographic showing various Remote Hpc Engineer job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Infra SRE Engineer

Nastech Global

San Jose, CA • Remote

$58.25 - $77.50/hr

Full-time

Posted 14 days ago

Job description

Position: AI Infra SRE Engineer – DGX

Location: Remote

Duration: Fulltime

Must-have

  • NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g. Cray, HPE, IBM)
  • Cisco UCS C885A
  • Docker

Good to have

  • DevOps Automation
  • CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins)
  • Terraform, Ansible, Jenkins
  • Python
  • GoLang, C/C++
  • Enterprise Grade Kubernetes cluster (RedHat OpenShift – preferred) and/or Google Anthos
  • Software development lifecycle includes design, development, testing, packaging, and deployment using Golang

Roles & Responsibilities

  • Technical knowledge of high-performance compute, NVIDIA DGX/GPUs and/or Cisco Unified Compute System.
  • Handle availability, latency, scalability and efficiency of NVIDIA and Cisco UCS infrastructure
  • by instilling engineering reliability into the development life cycle with a focus on fault tolerant approaches.
  • Drive capacity planning, performance analysis, instrumentation, and other non-functional systems requirements.
  • Automate operational capabilities using Python, Ansible, Terraform, Go etc.
  • Deliver automation through CI/CD pipeline and chatbot etc.
  • Implement metrics driven processes to ensure service quality targets are met.