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High Performance Computing Hpc Jobs in Florida (NOW HIRING)

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.

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.

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.

Manage valuation workstreams, including DCF, comparable company/transaction analysis, and unit economics modeling for high-performance computing (HPC) assets. * Market Research: Monitor and analyze ...

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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 May 30, 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 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 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 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 May 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.

Director, Corporate Development

Hut 8

Miami, FL

Other

Posted 3 days ago


Job description

ABOUT THE ROLE

We are seeking a commercial and strategic Director to join our team and help shape Hut 8's capital allocation, growth strategy, and infrastructure expansion. Working closely with our executive leadership team, you will lead high-priority corporate initiatives, including M&A, financings, and joint ventures across our digital infrastructure and energy business.
The ideal candidate is a dealmaker coming out of Investment Banking, Private Equity, Infrastructure Funds, or Corporate Development from leading computing infrastructure and power and energy companies. We need a leader who can own the M&A process end-to-end-meaning you know how to source the opportunity, design the commercial structure, and determine how to finance the deal. This role offers regular exposure to our executive team, requiring someone who can comfortably translate complex financial decisions into clear business strategy.

KEY RESPONSIBILITIES

End-to-End M&A & Deal Execution

  • Sourcing & Origination: Identify, screen, and source strategic investment opportunities, joint ventures, and M&A targets that expand our AI compute and data center footprint.
  • Transaction Structuring: Lead the commercial and legal structuring of complex deals, balancing corporate strategy, risk mitigation, and commercial terms.
  • Financing Strategy: Design and execute the financing strategy for each transaction, evaluating and securing the right mix of debt, equity, or structured capital solutions.
  • Deal Ownership: Manage the full deal lifecycle from initial valuation and non-binding offers through due diligence, definitive documentation negotiation, and closing.

Capital Strategy & Financial Oversight

  • Financial Modeling: 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.
  • Executive Decision Support: Synthesize transaction economics and valuation materials into clear presentations and recommendations for the Executive Team and the Board.

Collaboration & Relationship Management

  • Internal Coordination: Partner directly with senior leadership across AI/Data Center Development, Energy Origination, Strategic Finance, EPC, Treasury, Legal, and Accounting to ensure seamless execution.
  • Advisor Management: Lead external financial advisors, legal counsel, and technical consultants, keeping diligence work streams on time and on budget.
  • Network Management: Maintain and leverage a strong network of relationships with investment banks, institutional infrastructure investors, technology vendors, and energy counterparties.

ABOUT YOU

  • Background: 7-10+ years of transactional experience across Investment Banking, Private Equity, Infrastructure Funds, or Corporate Development from leading computing infrastructure and power and energy companies.
  • Deal Track Record: A proven history of closing transactions with clear ownership over the sourcing, structuring, and financing process.
  • Industry Focus: Strong familiarity with the economics of digital infrastructure, AI compute, data centers, or power and energy markets.
  • Technical Skills: Deep understanding of corporate finance, project finance, capital markets, and corporate structuring, along with the ability to oversee complex modeling teams.
  • Communication: Strong communication skills and professional maturity, with the ability to present confidently to C-suite executives, board members, and sophisticated external partners.
  • Leadership Style: A self-starter who can effectively manage multiple high-stakes projects at once and guide cross-functional teams without losing sight of the details.
  • Education: Bachelor's degree in Finance, Economics, Engineering, or a related field. An MBA or CFA is a plus.

ABOUT THE WORK ENVIRONMENT

This role is based in-office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.