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Freelance High Performance Computing Jobs in Florida

Collaborating with faculty to translate research needs into secure, high-performance computing environments. performance compute environments. * Designing custom research architectures that support ...

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

CUDA Software Engineer - Remote

Miami, FL ยท Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

Project Engineer - High Voltage Substation

Miami, FL ยท On-site

$94K - $120K/yr

We are expanding our High Voltage Engineering team to support the development of next-generation AI and high-performance computing data centers across North America. This is an opportunity to join a ...

Responsible and effective use of high-performance computing environments * Data management and visualization using modern programming languages (e.g., Python) * Processing complex data to produce ...

Responsible and effective use of high-performance computing environments * Data management and visualization using modern programming languages (e.g., Python) * Processing complex data to produce ...

Senior Digital Processing Engineer

Sarasota, FL ยท On-site

$130K - $140K/yr

Support the transition of algorithms into real-time, high-performance computing environments * Work independently on technical initiatives while also collaborating with small, highly skilled ...

Showing results 41-60

Freelance High Performance Computing information

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

AspectFreelance High Performance ComputingFreelance Data Scientist
Required CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of parallel computing and HPC toolsDegree in data science, statistics, or related fields; proficiency in programming, statistics, and machine learning
Work EnvironmentTypically involves working with supercomputers, clusters, and specialized hardwarePrimarily works with data analysis platforms, cloud services, and programming languages like Python or R
Employer & Industry UsageUsed by research institutions, government labs, and tech companies for scientific simulations and large-scale computationsEmployed across industries for data analysis, predictive modeling, and business intelligence projects

While both roles require strong technical skills and programming knowledge, Freelance High Performance Computing focuses on optimizing and managing large-scale computational resources, whereas Freelance Data Scientist centers on analyzing data to extract insights. The choice depends on your expertise in hardware and parallel processing versus data analysis and modeling.

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

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

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Infographic showing various Freelance High Performance Computing job openings in Florida as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution.

Linux Systems Administrator

Biscayne Park, FL โ€ข On-site

2T Consulting
IT Servicesย โ€ขย 51 - 200 employees

Full-time

Posted 21 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.