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High Performance Computing Hpc Jobs in Florida (NOW HIRING)

We are seeking a Linux Systems Administrator with experience supporting High-Performance Computing (HPC) environments, AI clusters, and research computing infrastructure. The ideal candidate will ...

We are seeking a Linux Systems Administrator with experience supporting High-Performance Computing (HPC) environments, AI clusters, and research computing infrastructure. The ideal candidate will ...

We are seeking a Linux Systems Administrator with experience supporting High-Performance Computing (HPC) environments, AI clusters, and research computing infrastructure. The ideal candidate will ...

We are seeking a Linux Systems Administrator with experience supporting High-Performance Computing (HPC) environments, AI clusters, and research computing infrastructure. The ideal candidate will ...

We are seeking a Linux Systems Administrator with experience supporting High-Performance Computing (HPC) environments, AI clusters, and research computing infrastructure. The ideal candidate will ...

We are seeking a Linux Systems Administrator with experience supporting High-Performance Computing (HPC) environments, AI clusters, and research computing infrastructure. The ideal candidate will ...

We are seeking a Linux Systems Administrator with experience supporting High-Performance Computing (HPC) environments, AI clusters, and research computing infrastructure. The ideal candidate will ...

Showing results 21-40

High Performance Computing Hpc information

See Florida salary details

$24.3K

$51K

$83.7K

How much do high performance computing hpc jobs pay per year?

As of Sep 10, 2026, the average yearly pay for high performance computing hpc in Florida is $51,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $62,000.00 per year, depending on experience, location, and employer.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is the difference between High Performance Computing Hpc vs Data Scientist?

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are popular job titles related to High Performance Computing Hpc jobs in Florida?

For High Performance Computing Hpc jobs in Florida, the most frequently searched job titles are:

What job categories do people searching High Performance Computing Hpc jobs in Florida look for?

The top searched job categories for High Performance Computing Hpc jobs in Florida are:

Infographic showing various High Performance Computing Hpc job openings in Florida as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $51,002 per year, or $24.5 per hour.

Linux Systems Administrator

Hialeah, FL

2T Consulting
IT Services • 51 - 200 employees

Full-time

Posted 17 days ago


Job description

We are seeking a Linux Systems Administrator with experience supporting High-Performance Computing (HPC) environments, AI clusters, and research computing infrastructure. The ideal candidate will have strong Linux administration, cluster management, troubleshooting, and performance-tuning skills. Experience supporting research or scientific computing environments, particularly grant-funded research environments, is highly preferred.

Roles and Responsibilities
  • Administer, maintain, and support Linux server environments across enterprise and HPC infrastructure.
  • Support and maintain HPC and computational computing clusters, ensuring system availability and performance.
  • Install, configure, upgrade, patch, and maintain Linux operating systems, applications, and system software.
  • Support and administer HPC job scheduling environments, preferably Slurm.
  • Monitor system health, resource utilization, performance, and capacity across Linux and HPC environments.
  • Troubleshoot complex operating system, application, networking, storage, and hardware issues.
  • Perform system and application performance tuning to optimize compute workloads.
  • Support storage infrastructure, server hardware, networking, and high-performance computing components.
  • Assist with deployment, configuration, and maintenance of AI and GPU-based computing infrastructure.
  • Collaborate with research, engineering, infrastructure, and application teams to support computational workloads.
  • Maintain system documentation, operational procedures, and technical standards.
  • Support upgrades, migrations, and infrastructure improvements while minimizing service disruption.
  • Identify opportunities to improve system reliability, performance, automation, and operational efficiency.
Required Qualifications
  • Hands-on experience administering Linux server environments.
  • Experience supporting HPC or computational computing clusters.
  • Experience with HPC job schedulers, preferably Slurm.
  • Experience installing, upgrading, patching, configuring, and maintaining Linux systems and applications.
  • Strong knowledge of storage infrastructure, networking, and server hardware.
  • Strong troubleshooting, systems analysis, and performance-tuning skills.
  • Ability to diagnose and resolve complex infrastructure and system-level issues.
Preferred Qualifications
  • Experience supporting AI clusters, GPU infrastructure, or AI-focused computing environments.
  • Experience with parallel file systems.
  • Experience supporting research, scientific, academic, or computational computing environments.
  • Experience supporting grant-funded research infrastructure.
  • Knowledge of SAN, InfiniBand, and high-performance networking technologies.
  • Familiarity with automation, scripting, monitoring, and infrastructure management tools.
  • Experience working in large-scale distributed computing environments.