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Hpc Engineer Jobs in Florida (NOW HIRING)

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 ...

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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Showing results 1-20

Hpc Engineer information

See Florida salary details

$17.9K

$80.7K

$128.5K

How much do hpc engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for hpc engineer in Florida is $80,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $99,800.00 per year, depending on experience, location, and employer.

What does an HPC engineer do?

An HPC (High-Performance Computing) Engineer designs, deploys, and optimizes high-performance computing systems used for intensive computational tasks. They work with parallel computing, cluster management, and performance tuning to ensure efficient processing of large-scale simulations, data analysis, and scientific research. Their role often involves configuring hardware, optimizing software, and troubleshooting issues to maximize system performance.

What are the key skills and qualifications needed to thrive as an HPC engineer?

To thrive as an HPC Engineer, you need a solid background in computer science, mathematics, or a related field, with expertise in parallel computing, Linux systems, and high-performance cluster management. Proficiency with job schedulers (like SLURM or PBS), programming languages such as C/C++ or Python, and experience with distributed file systems are highly valuable, and certifications in relevant areas can enhance your qualifications. Strong problem-solving, collaboration, and communication skills help you work efficiently within technical teams and explain complex concepts to non-experts. These skills and qualities are essential for ensuring high performance, reliability, and scalability of computing systems in scientific and enterprise settings.

What are some of the common challenges faced by HPC engineers in their day-to-day work?

HPC Engineers often encounter challenges such as optimizing performance for complex workloads, troubleshooting system failures, and efficiently managing large-scale infrastructures. You may be required to balance the needs of multiple users and projects, quickly address hardware or software issues, and stay ahead of evolving technologies. Collaboration with researchers, IT staff, and software developers is key to designing robust solutions. Overcoming these challenges helps improve computational efficiency and supports critical research and business objectives.

Are HPC engineers in demand?

HPC (High-Performance Computing) engineers are in high demand due to the increasing need for advanced computing in fields like scientific research, data analysis, and artificial intelligence. Employers seek professionals skilled in parallel programming, cluster management, and tools such as Linux and MPI, often requiring relevant certifications and experience with large-scale systems.

How much do HPC engineers make in the US?

HPC (High-Performance Computing) engineers in the US typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in parallel computing, cluster management, or specific tools like MPI or CUDA can earn higher salaries.

What are the most commonly searched types of Hpc Engineer jobs in Florida?

The most popular types of Hpc Engineer jobs in Florida are:

What are popular job titles related to Hpc Engineer jobs in Florida?

For Hpc Engineer jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Hpc Engineer jobs?

Cities in Florida with the most Hpc Engineer job openings:

Infographic showing various Hpc Engineer job openings in Florida as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $80,675 per year, or $38.8 per hour.

Technical Project Lead / Manager

Accenture Federal Services

Tampa, FL • Hybrid

Full-time

Re-posted 14 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 496 rated business services


Job description

Overview

The Technical Project Lead / Manager will oversee the planning, delivery, and operational stability of cloud and onpremises environments supporting advanced AI/ML workloads and highperformance computing (HPC) systems. This role combines handson technical leadership with project management responsibilities, ensuring that infrastructure, networking, CI/CD pipelines, and GPUaccelerated compute environments meet mission and program objectives. The ideal candidate has strong experience with hybrid cloud architectures, HPC or GPUbased environments, DevSecOps/CICD automation, and Agile delivery frameworks. The Technical Project Lead will guide engineering teams, collaborate with stakeholders, and manage execution across multiple parallel workstreams.

Responsibilities

  • Lead the design, deployment, and optimization of cloud and onprem compute environments supporting AI/ML, MLOps, and HPC workloads.
  • Oversee GPUenabled compute clusters, HPC networking, and performance tuning.
  • Direct the implementation and maintenance of CI/CD pipelines supporting model training, model deployment, and dataintensive workflows.
  • Guide engineers on containerization, orchestration, system architecture, and infrastructure modernization.
  • Ensure systems comply with security, accessibility, and governance requirements (e.g., DevSecOps practices, hardened cloud/onprem environments).
  • Own endtoend delivery for infrastructure and engineering initiatives, including scope, schedule, risks, and dependencies.
  • Develop and maintain project roadmaps, resource plans, and technical execution milestones.
  • Drive a modified Agile delivery process tailored to the team's engineering workflows, ensuring consistent cadence and continuous improvement.
  • Coordinate crossfunctional contributors including cloud engineers, systems engineers, platform engineers, data engineers, and security professionals.
  • Monitor project health metrics and proactively escalate obstacles. Facilitate technical reviews, sprint planning, backlog refinement, and stakeholder briefings.
  • Work directly with leadership, engineering teams, and mission/program stakeholders to align technical priorities and delivery timelines.
  • Translate complex technical requirements into clear work packages and implementation strategies.
  • Maintain strong relationships across internal teams and external partners supporting cloud, network, and AI/ML projects.
  • Oversee operational readiness, system reliability, and performance of hybrid compute environments.
  • Guide teams in implementing best practices for monitoring, logging, fault tolerance, and capacity management.
  • Partner with security teams to ensure compliance, secure configuration, and continuous risk management.
  • Support troubleshooting of complex infrastructure, networking, or performance issues across GPU and HPC platforms.

Qualifications

  • 5 years of experience with any of the following knowledge:
    • Experience leading hybrid cloud and onpremises infrastructure projects (AWS or private cloud).
    • Strong background in systems engineering, cloud engineering, or HPC engineering.
    • Handson familiarity with GPUaccelerated compute, containerized workloads, Kubernetes, and clusterbased architectures.
    • Working knowledge of CI/CD pipelines and DevSecOps tooling.
  • Demonstrated ability to run Agile or hybridAgile delivery processes.
  • Experience managing crossfunctional engineering teams and coordinating technical efforts.
  • Ability to travel 25% of the time OCONUS

Preferred Qualifications

  • Experience supporting AI/ML platforms, MLOps workflows, or dataintensive systems.
  • Background with highspeed networking (InfiniBand, data plane acceleration, or HPC fabrics).

Clearance

  • An active TS/SI is required

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