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Remote Hpc Engineer Jobs (NOW HIRING)

NextSilicon

HPC Systems Administrator

Minneapolis, MN · On-site +1

... Remote considered for exceptional candidates. Requirements * Bachelor's degree in engineering ... Deep understanding of HPC & AI technologies and software ecosystems * Hands-on experience ...

NextSilicon

HPC Field Applications Engineer

Austin, TX · On-site +1

We are looking for an experienced HPC and AI application field support engineer to join our pre ... Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ...

Abaxis

HPC Platform Product Lead

Portage, MI · On-site +1

Bachelor's degree in computer science, Engineering, Information Systems, or equivalent practical ... PHYSICAL POSITION REQUIREMENTS Primarily office/remote knowledge-work role; prolonged periods of ...

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Remote Hpc Engineer information

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$39K

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$137.5K

How much do remote hpc engineer jobs pay per year?

As of Aug 25, 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 is a remote HPC engineer?

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 skills and qualifications are needed to be a remote HPC engineer?

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.

How do remote HPC engineers 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.

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.

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Remote Hpc Engineer jobs near you
Infographic showing various Remote Hpc Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

HPC Systems Administrator

NextSilicon

Minneapolis, MN • On-site, Remote

Full-time

Posted 22 days ago

Job description

Description
NextSilicon is revolutionizing high-performance computing. Our innovative coprocessor technology dramatically accelerates supercomputers, propelling them into a new era. Our software-defined hardware architecture empowers HPC/AI to deliver groundbreaking discoveries across all areas of advanced research. We're seeking a dynamic and results-oriented HPC/AI Systems Administrator to join our team.
At NextSilicon, everything we do is guided by three core values:
  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

Join our Field Deployment & Systems team as an HPC/AI Systems Administrator.
As an HPC/AI Systems Administrator at NextSilicon, you will be central to sustaining the successful operation of HPC/AI systems. You will stand-up and maintain HPC/AI hardware and software resources. You will tune and configure systems for high-quality benchmarking efforts. You will ensure that the health and accessibility of the HPC/AI systems is top-notch via cluster management tools and capacity planning efforts.
This is a highly technical, execution-focused individual contributor role with no people management or leadership responsibilities at this time.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote considered for exceptional candidates.
Requirements
  • Bachelor's degree in engineering, mathematics, computer science, related field, or equivalent experience. Advanced degree is a plus.
  • 5-10+ years of experience with HPC/AI system administration.
  • Deep understanding of HPC & AI technologies and software ecosystems
  • Hands-on experience configuring, maintaining, and troubleshooting Slurm in large-scale HPC/AI environments.

  • Experience in a fast-paced, entrepreneurial environment is a plus
  • Ability to travel within the USA approx. 4 times per year
  • US citizenship with eligibility to visit US government research facilities

Responsibilities
  • Administer, install, monitor, and maintain HPC/AI systems, including compute nodes, storage, networking, and software stacks.
  • Develop and maintain automation tools for system provisioning, configuration management, and monitoring.
  • Install, configure, and optimize job scheduling and resource management tools (e.g., Slurm).
  • Assist in system security, patch management, and troubleshooting operational issues.
  • Contribute to performance benchmarking, system tuning, and capacity planning.
  • Deploy and maintain commonly used HPC/AI applications, software stacks, and technologies (e.g., MPI, containers, spack, modules)
  • Document system administration procedures and contribute to knowledge-sharing initiatives.
  • Support researchers by providing technical expertise and resolving escalated support tickets.
  • Participate in vendor coordination, system procurement, and hardware/software lifecycle management.

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