ZipRecruiter

Log In

2

Remote Supercomputer Jobs in Minnesota (NOW HIRING)

NextSilicon

HPC Systems Administrator

Minneapolis, MN · On-site +1

Our innovative coprocessor technology dramatically accelerates supercomputers, propelling them into ... Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ...

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site +1

... supercomputers, driving them forward into a new generation. Our new software-defined hardware ... Remote considered for exceptional candidates. As part of a software-defined hardware company, you ...

All JobsSupercomputer JobsRemote Supercomputer JobsRemote Supercomputer Jobs in Minnesota

Remote Supercomputer information

What is a remote supercomputer?

Remote supercomputers are powerful computing systems that can be accessed and operated over the internet or a network, rather than requiring physical presence at their location. These systems allow researchers, scientists, and engineers to run complex simulations, analyze large datasets, and perform high-performance computations from anywhere in the world. Remote access to supercomputers is typically managed through secure protocols, specialized software, and user authentication to ensure data security and efficient resource allocation. This setup enables collaboration across institutions and accelerates scientific discovery by making advanced computational resources more widely available.

What skills and qualifications are needed to work with remote supercomputers?

To thrive as a Remote Supercomputer Operator, you need expertise in high-performance computing (HPC), system administration, and a relevant degree in computer science or engineering. Familiarity with operating systems like Linux, cluster management tools (e.g., SLURM), and parallel programming frameworks is typically required. Strong problem-solving, attention to detail, and effective communication skills set top operators apart. These competencies are crucial for maintaining system uptime, optimizing performance, and supporting users in complex computational environments.

What are common challenges faced by professionals working with remote supercomputers, and how can they be addressed?

Professionals working with remote supercomputers often encounter challenges such as network latency, data transfer bottlenecks, and the need for efficient job scheduling. To address these, it's important to familiarize yourself with optimized data management practices and use appropriate file transfer tools. Additionally, collaborating closely with system administrators and leveraging user support resources can help resolve technical issues quickly. Staying updated on best practices and system upgrades is also key to maintaining productivity in this dynamic environment.

What is the difference between Remote Supercomputer vs Remote Data Scientist?

AspectRemote SupercomputerRemote Data Scientist
Required CredentialsAdvanced degrees in computer science, high-performance computing certificationsDegree in data science, statistics, or related fields; certifications like CAP or Microsoft Certified Data Scientist
Work EnvironmentAccess to high-performance computing clusters, specialized hardwareData analysis platforms, cloud services, programming environments
Industry UsageResearch institutions, scientific computing, large-scale simulationsTech companies, finance, healthcare, marketing analytics
Common Search/ComparisonHigh-performance computing roles, supercomputing jobsData analysis roles, machine learning jobs

Remote Supercomputers focus on managing and utilizing high-performance computing resources for complex simulations and research, requiring specialized technical skills. Remote Data Scientists analyze large datasets using statistical and machine learning techniques, often leveraging cloud platforms. While both roles involve advanced technical expertise, they serve different industry needs and environments.

What are popular job titles related to Remote Supercomputer jobs in Minnesota?

For Remote Supercomputer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Supercomputer jobs in Minnesota look for?

The top searched job categories for Remote Supercomputer jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Supercomputer jobs?

Cities in Minnesota with the most Remote Supercomputer job openings:

Remote Supercomputer jobs near you
Infographic showing various Remote Supercomputer job openings in Minnesota as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

HPC Systems Administrator

NextSilicon

Minneapolis, MN • On-site, Remote

Full-time

Posted 19 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.

Apply