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How much do hpc ai jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for hpc ai in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are the typical collaboration dynamics between HPC AI specialists and other technical teams within an organization?

HPC AI specialists frequently collaborate with data scientists, software engineers, and IT infrastructure teams to design, implement, and optimize large-scale AI solutions. They often work closely with these groups to ensure that computational resources are efficiently utilized, AI models are scalable, and workflows are properly integrated with existing systems. Effective communication and cross-functional teamwork are essential, as HPC AI roles often involve troubleshooting performance bottlenecks and aligning AI workloads with organizational goals. Regular meetings, code reviews, and joint project planning sessions are common practices to facilitate this collaboration.

What are HPC AI jobs?

HPC AI jobs refer to roles that combine High Performance Computing (HPC) and Artificial Intelligence (AI). Professionals in this field develop, optimize, and deploy AI models that require significant computational resources, often using supercomputers or large-scale clusters. These roles can include tasks such as designing scalable machine learning algorithms, managing data pipelines, and ensuring efficient use of computing power for complex simulations and analyses. HPC AI specialists are found in industries like scientific research, finance, healthcare, and autonomous systems where large datasets and intensive computations are common.

What are the key skills and qualifications needed to thrive as an HPC AI Specialist, and why are they important?

To thrive as an HPC AI Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by an advanced degree in a related field. Familiarity with high-performance computing clusters, parallel programming (e.g., MPI, CUDA), and AI frameworks like TensorFlow or PyTorch is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and interpreting results. Mastering these skills enables efficient development and deployment of AI models at scale, ensuring optimal performance and innovation in data-intensive environments.
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Hpc Ai jobs near you
Infographic showing various Hpc Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

HPC/AI Systems Administrator

NextSilicon

Minneapolis, MN • Remote

Full-time

Posted 3 days ago

Job 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.


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.

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
  • 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