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Work From Home High Performance Computing Hpc Jobs

Description NextSilicon is revolutionizing high-performance computing. Our innovative coprocessor ... That's why we foster a work environment where every employee can feel valued and heard. * Impact : ...

AWS Cloud Engineer (Remote)

San Francisco, CA ยท On-site +1

$40 - $45/hr

MUST be authorized to work in the United States without sponsorship. * AWS Developer Certification ... Experience developing applications for high-performance computing (HPC). INDBH #LI-MG1

... high-performance computing and enterprise PaaS environment * Excellent verbal and written ... from all qualified persons regardless of their race, sex, disability, religion/belief, sexual ...

... high performance computing technologies (CPUs, GPUs, FPGAs, etc). While strong hands-on work ... from our technology for their specific use cases, conduct and lead performance studies, code ...

... high performance computing technologies (CPUs, GPUs, FPGAs, etc). While strong hands-on work ... from our technology for their specific use cases, conduct and lead performance studies, code ...

Cloud HPC Engineer

Walnut Creek, CA ยท On-site +1

$130K - $200K/yr

Work will focus on (1) building a cloud-based high-performance computing platform for nanoscale ... Work From Home * Free Food & Snacks * Wellness Resources * Stock Option Plan Compensation * $130 ...

Description NextSilicon is reimagining high-performance computing. Our accelerated compute ... That's why we foster a work environment where every employee can feel valued and heard. * Impact : ...

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Work From Home High Performance Computing Hpc information

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How much do work from home high performance computing hpc jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for work from home high performance computing hpc in the United States is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the work from home high performance computing HPC position?

To thrive as a Work From Home High Performance Computing (HPC) professional, you need a solid background in computer science, parallel computing, and experience with HPC architectures, often supported by a relevant degree. Familiarity with tools such as Linux, job schedulers (e.g., Slurm, PBS), parallel programming languages (MPI, OpenMP), and cloud-based HPC solutions is highly valuable, and certifications in cloud platforms or HPC administration can be advantageous. Strong problem-solving skills, self-motivation, and clear written and verbal communication are essential for success while working remotely. These capabilities ensure efficient system management, troubleshooting, and collaboration with distributed teams, all of which are critical for maintaining and optimizing high-performance computing environments remotely.

What are the typical daily responsibilities of a remote high performance computing HPC professional?

As a remote High Performance Computing (HPC) professional, your daily tasks typically include monitoring system performance, troubleshooting technical issues, deploying software updates, and optimizing computational workflows. You'll frequently interact with researchers or engineering teams to support their computational projects, resolve user issues, and ensure smooth job scheduling and resource allocation. Many roles also involve automating system tasks or configuring new nodes in the HPC cluster, often via secure remote access. Effective communication and teamwork are key, as you'll regularly collaborate with both technical and non-technical colleagues, sometimes across different time zones. This dynamic work environment provides opportunities to solve complex problems and contribute to cutting-edge research and innovation.

What is a work from home high performance computing HPC job?

A Work From Home High Performance Computing (HPC) job involves managing, developing, or optimizing high-performance computing systems remotely. Professionals in these roles work on complex computational tasks, such as scientific simulations, machine learning, or large-scale data processing. Responsibilities may include configuring HPC clusters, troubleshooting performance issues, and developing parallel computing applications. These positions typically require strong knowledge of Linux, scripting, parallel computing frameworks, and cloud-based HPC solutions.

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What cities are hiring for Work From Home High Performance Computing Hpc jobs? Cities with the most Work From Home High Performance Computing Hpc job openings:
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Infographic showing various Work From Home High Performance Computing Hpc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $45,370 per year, or $21.8 per hour.

HPC Systems Administrator

NextSilicon

Minneapolis, MN โ€ข On-site, Remote

Full-time

Posted 9 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.