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High Performance Computing Hpc Jobs in Florida (NOW HIRING)

AMPERA INC

AI / Software Engineer

Palm Beach Gardens, FL · On-site +1

Experience with simulation tools, digital twins, or high-performance computing (HPC) preferred. * Knowledge of control systems, reinforcement learning, or physics-informed AI is a plus. * Familiarity ...

AMPERA INC

AI Software Engineer

Palm Beach Gardens, FL · On-site +1

Experience with simulation tools, digital twins, or high-performance computing (HPC) preferred. Knowledge of control systems, reinforcement learning, or physics-informed AI is a plus. Familiarity ...

Astrion

Aircraft Dynamics/Flutter Engineer

FL · On-site

Programming for or using High Performance Computing (HPC) resources for aerospace applications. * Working experience, internships or graduate research projects that provided experience in aircraft ...

Hut 8

Director, Corporate Development

Miami, FL

Oversee corporate financial modeling work streams (including DCF, LBO, merger analysis, and project finance models) for data center developments and high-performance computing (HPC) assets.

Hut 8

Director, Corporate Development

Miami, FL

Oversee corporate financial modeling work streams (including DCF, LBO, merger analysis, and project finance models) for data center developments and high-performance computing (HPC) assets.

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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 Jun 20, 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 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 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 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, and why are they important?

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 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:
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High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $51,002 per year, or $24.5 per hour.
Assistant Scientist - Nephrology - Quantitative Health

Assistant Scientist - Nephrology - Quantitative Health

University of Florida

Gainesville, FL • On-site

Full-time

Posted 9 days ago

University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

333rd of 538 rated colleges and universities

Job description

Job Summary:
The University of Florida is seeking an Assistant Scientist in the Department of Medicine to join the Computational Microscopy Imaging Laboratory. The successful candidate will engage in research focused on deep learning, digital pathology, and multi-omics data integration, particularly in relation to diabetic kidney disease.
Responsibilities:
• Demonstrated expertise in deep learning and AI frameworks (e.g., PyTorch, TensorFlow) and large-scale image analysis libraries (e.g., large_image by kitware)
• Hands-on experience with whole slide image analysis and computational pathology workflows
• Proficiency in Python and scientific computing libraries
• Experience with version control systems (e.g., Git/GitHub)
• Experience with high-performance computing (HPC) environments and large-scale data processing
• Contribute to cutting-edge research at the intersection of deep learning, digital pathology, and multi-omics data integration, with a strong emphasis on kidney disease, particularly, diabetic kidney disease.
• Engage in computational pathology and digital pathology, with application to kidney disease and diabetic kidney disease
• Develop deep learning and AI models for histological and microscopy image analysis
• Conduct whole slide image (WSI) analysis and quantitative microscopy
• Integrate spatial transcriptomics and multi-omics data
• Create high-performance computing and scalable biomedical data analysis pipelines
Qualifications:
Required:
• Applicants must hold a PhD in computer science, electrical engineering, biomedical engineering, or a closely related field
• Have completed at least 2–3 years of postdoctoral research experience
• Demonstrate a strong record of research productivity and scholarly achievement, as evidenced by peer-reviewed publications
• Demonstrated expertise in deep learning and AI frameworks (e.g., PyTorch, TensorFlow) and large-scale image analysis libraries (e.g., large_image by kitware)
• Hands-on experience with whole slide image analysis and computational pathology workflows
• Proficiency in Python and scientific computing libraries
• Experience with version control systems (e.g., Git/GitHub)
• Experience with high-performance computing (HPC) environments and large-scale data processing
Preferred:
• Prior research experience in kidney disease, with specific expertise in diabetic kidney disease highly preferred
• Experience with spatial transcriptomics and multi-omics data integration
• Familiarity with microscopy imaging modalities relevant to renal pathology
• Track record of or demonstrated potential for independent grant writing and funding acquisition
• Experience mentoring junior researchers, graduate students, or undergraduate trainees
• Strong written and verbal communication skills, with a collaborative research approach
Company:
University of Florida is a public land-grant research university in Gainesville, Florida. Founded in 1853, the company is headquartered in Gainesville, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853

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