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Hpc Performance Engineer Jobs in Boca Raton, FL (NOW HIRING)

TeraWulf Inc.

Controls Engineer

West Palm Beach, FL · On-site

$80K - $104K/yr

TeraWulf is building large-scale AI/HPC data centers, and the Controls Engineer will serve as the ... validate performance. * Support Program Delivery through milestone drawing reviews, RFI and ...

All JobsHpc Performance Engineer JobsHpc Performance Engineer Jobs in Boca Raton, FL

Hpc Performance Engineer information

See Boca Raton, FL salary details

$10

$57

$93

How much do hpc performance engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for hpc performance engineer in Boca Raton, FL is $57.04, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.57 per hour, depending on experience, location, and employer.

What is an HPC performance engineer?

HPC Performance Engineers are specialists who focus on optimizing the performance of high-performance computing (HPC) systems and applications. They analyze system bottlenecks, tune software and hardware configurations, and work with researchers and developers to ensure applications run efficiently on supercomputers or large computing clusters. Their work is essential for maximizing computational resources and improving the speed and scalability of scientific, engineering, or data-intensive workloads.

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

To thrive as an HPC Performance Engineer, you need a strong background in computer science or engineering, with expertise in parallel programming, high-performance computing architectures, and performance analysis. Familiarity with tools like MPI, OpenMP, profiling software (e.g., Intel VTune, GNU gprof), and experience with job schedulers and Linux systems are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for identifying bottlenecks and collaborating with multidisciplinary teams. These skills are vital for optimizing computational workflows, maximizing resource utilization, and driving efficiency in complex HPC environments.

What are the typical challenges HPC performance engineers face when optimizing large-scale computational workloads?

HPC Performance Engineers often encounter challenges such as identifying bottlenecks in parallel code, managing resource contention, and optimizing data movement across distributed systems. They must balance maximizing throughput with minimizing latency, all while ensuring applications scale efficiently as cluster sizes grow. Collaboration with software developers, system administrators, and research teams is common to align application requirements with hardware capabilities and to implement effective performance improvements.

What is the difference between Hpc Performance Engineer vs Hpc System Administrator?

AspectHpc Performance EngineerHpc System Administrator
Primary FocusOptimizing HPC system performance and efficiencyManaging and maintaining HPC infrastructure
Skills & CertificationsPerformance tuning, parallel computing, Linux, scriptingSystem setup, network management, user support
Work EnvironmentResearch labs, data centers, high-performance computing facilitiesData centers, IT departments, research institutions
Common TasksPerformance analysis, bottleneck resolution, code optimizationSystem installation, user account management, hardware troubleshooting

The Hpc Performance Engineer focuses on enhancing system performance and efficiency, often working on optimization and tuning. In contrast, the Hpc System Administrator manages the day-to-day operation and maintenance of HPC systems. Both roles are essential in high-performance computing environments but serve different core functions.

What cities near Boca Raton, FL are hiring for Hpc Performance Engineer jobs?

Cities near Boca Raton, FL with the most Hpc Performance Engineer job openings:

Hpc Performance Engineer jobs near you

Linux Systems Administrator

Pembroke Park, FL • On-site

2T Consulting
IT Services • 51 - 200 employees
Learn more about 2T Consultingexternal

Full-time

Posted 16 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.

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