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Hpc Jobs in Florida (NOW HIRING)

Kindredventures

Senior Storage Engineer

Miami, FL · On-site

$120 - $150/hr

As we expand our infrastructure capabilities, Hydra Host is now seeking a Storage Engineer to lead the architecture, development, and deployment of our next-generation AI/HPC storage platform. The ...

Hydra Host, Inc.

Senior Storage Engineer

Miami, FL · On-site

$120 - $150/hr

As we expand our infrastructure capabilities, Hydra Host is now seeking a Storage Engineer to lead the architecture, development, and deployment of our next-generation AI/HPC storage platform.**The ...

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How much do hpc jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for hpc in Florida is $13.86, according to ZipRecruiter salary data. Most workers in this role earn between $11.49 and $15.82 per hour, depending on experience, location, and employer.

What is the difference between Hpc vs Network Administrator?

AspectHpcNetwork Administrator
Required CredentialsTypically requires a degree in computer science, IT, or related field; certifications like HPC certifications or Linux certifications are commonRequires a degree in computer science, IT, or related field; certifications like Cisco CCNA, CompTIA Network+ are common
Work EnvironmentHigh-performance computing centers, research labs, data centersOffice settings, data centers, corporate IT departments
Industry UsageResearch institutions, scientific computing, large-scale data processingCorporate, government, and educational institutions managing network infrastructure

Hpc specialists focus on managing and optimizing high-performance computing systems for scientific and research purposes, while Network Administrators oversee and maintain network infrastructure to ensure connectivity and security. Both roles require IT expertise but differ in their specific environments and technical focus.

What are high-performance computing jobs?

High-performance computing (HPC) jobs involve working with advanced computing systems that process large datasets and complex calculations at high speeds. These roles often require knowledge of parallel processing, programming languages like C++ or Python, and familiarity with HPC clusters or supercomputers to support scientific research, simulations, or data analysis.

What does an HPC do?

An HPC (High Performance Computing) professional manages and maintains powerful computer systems used for complex calculations, simulations, and data processing. They often work with specialized hardware, software, and programming skills to optimize performance for scientific, engineering, or research applications.

Are high-performance computing engineers in demand?

High-performance computing (HPC) engineers are in high demand due to the increasing need for processing large data sets, simulations, and complex computations across industries such as research, finance, and technology. They often require expertise in parallel programming, cluster management, and tools like MPI or CUDA, and job opportunities are growing as organizations invest in advanced computing infrastructure.

What is an HPC (High Performance Computing) specialist?

HPC (High Performance Computing) professionals are experts who design, manage, and optimize powerful computing systems used for complex computational tasks. These systems are often used in scientific research, weather forecasting, engineering simulations, and data analysis where large amounts of data need to be processed quickly. HPC professionals work with clusters, supercomputers, and advanced software to ensure high-speed performance and reliability. Their skills include parallel programming, system administration, and troubleshooting complex computational problems.

What skills and qualifications are needed to thrive as an HPC specialist?

To thrive as an HPC Specialist, you need a strong background in computer science, parallel programming, and systems architecture, often supported by a relevant degree or certifications. Familiarity with Linux operating systems, cluster management tools, job schedulers (like SLURM), and programming languages such as C/C++ or Python is essential. Effective problem-solving, teamwork, and communication skills help HPC specialists collaborate with researchers and troubleshoot complex technical issues. These skills and qualities are crucial to optimize computational resources and support advanced scientific or engineering projects.

What are common challenges faced by HPC specialists when supporting large-scale scientific research projects?

HPC professionals often encounter challenges such as optimizing code for parallel processing, managing limited computational resources, and ensuring efficient data throughput for large datasets. Collaborating with researchers to translate scientific problems into computational tasks requires strong communication skills and adaptability. Additionally, keeping up with rapidly evolving hardware and software technologies is essential for maintaining and improving system performance. These challenges are typically met through ongoing training, teamwork with domain scientists, and proactive system monitoring.
What are popular job titles related to Hpc jobs in Florida? For Hpc jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Hpc jobs in Florida look for? The top searched job categories for Hpc jobs in Florida are:
What cities in Florida are hiring for Hpc jobs? Cities in Florida with the most Hpc job openings:
Hpc jobs near you
Infographic showing various Hpc job openings in Florida as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $28,830 per year, or $13.9 per hour.

Senior Storage Engineer

Kindredventures

Miami, FL • On-site

$120 - $150/hr

Other

Posted 4 days ago

Job description

Job Title: Storage Engineer

About Hydra Host

Hydra Host is a Founders Fund-backed NVIDIA cloud partner building the infrastructure platform that powers AI at scale. We connect AI Factories – high-performance GPU data centers – with the teams that depend on them: research labs training foundation models, enterprises running production inference, and developer platforms demanding scalable compute capacity. Hydra Host is building the next-generation bare-metal GPU infrastructure network and marketplace under its Brokkr platform. The company enables independent data centers to monetize GPU capacity while providing enterprises with scalable, high-performance access to NVIDIA-based compute (e.g., H100, H200, B200, L40S, RTX 4090). As we expand our infrastructure capabilities, Hydra Host is now seeking a Storage Engineer to lead the architecture, development, and deployment of our next-generation AI/HPC storage platform.

The Role

As a Storage Engineer, you will be responsible for designing and building Hydra Host’s first production‑grade storage platform from the ground up, supporting the company’s rapidly expanding network of bare-metal GPU clusters. You’ll own the architecture, technology selection, implementation, and evolution of this platform, defining how Hydra Host manages data for large-scale, distributed AI workloads across global data centers. This is a senior, hands‑on role for an engineer who has built storage systems for GPU clusters before, with deep expertise in both block and object storage and a strong understanding of parallel file systems, performance optimization, and large‑scale orchestration.

Key Responsibilities
  • Define, architect, and implement Hydra Host’s first production storage platform tailored for bare-metal GPU clusters and AI/HPC workloads.
  • Lead all technical decisions around storage stack design, from hardware infrastructure to parallel file system orchestration and performance tuning.
  • Select, build, and maintain storage solutions spanning both block (NVMe, SAN, Ceph, etc.) and object storage (S3‑compatible, custom, or Ceph Object Gateway) layers.
  • Design for high‑throughput, low‑latency access, supporting large datasets, rapid checkpointing, and parallel access for distributed AI training workloads.
  • Integrate and optimize parallel file systems such as Lustre, BeeGFS, Spectrum Scale, WekaIO, or CephFS, ensuring maximum performance and fault tolerance.
  • Ensure compatibility across Hydra’s diverse GPU/OEM ecosystem, accounting for unique firmware, BMC/Redfish APIs, and hardware configurations.
  • Develop automation, observability, and management tooling for storage, focusing on reliability, scalability, and efficiency.
  • Act as a builder and architect: deeply hands‑on in deployment, troubleshooting, and optimization, while guiding long‑term storage roadmap.
  • Collaborate cross‑functionally with GPU, HPC, and platform engineering teams to integrate storage with compute and network layers.
  • Interface with customers and product leadership to define feature priorities, performance benchmarks, and future enhancements.
Must-Have Qualifications
  • 8+ years of progressive, hands‑on experience designing and implementing high-performance storage systems for compute clusters in HPC, AI, or bare-metal cloud environments.
  • Proven track record building storage infrastructure from scratch, not just operating existing systems.
  • Deep expertise in block storage (NVMe, SAN, Ceph, distributed block systems) and object storage (S3, MinIO, Ceph Object Gateway, etc.).
  • Strong background in parallel file systems (WekaIO, BeeGFS, Lustre, Spectrum Scale, or similar) supporting GPU or AI cluster workloads.
  • Solid foundation in Linux systems engineering, automation, and scripting for distributed environments.
  • Familiarity with BMC, Redfish APIs, and OEM server firmware for bare-metal management.
  • Deep understanding of AI/ML data pipelines: model checkpointing, data locality, and multi-tiered storage optimization.
  • Excellent problem-solving, debugging, and communication skills, able to translate technical decisions into clear architectural direction.
Preferred Qualifications
  • Experience building storage solutions for large-scale GPU or HPC infrastructure.
  • History of technical leadership or mentorship, growing teams or owning a product roadmap.
  • Experience evaluating and managing vendor relationships and negotiating storage hardware/software contracts.
  • Contributions to open-source HPC or storage projects (Ceph, Lustre, BeeGFS, etc.).
  • Familiarity with confidential computing, secure data handling, or high-availability architectures.
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