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Parallel Jobs in Miramar, FL (NOW HIRING)

2T Consulting

Linux Systems Administrator

Miami, FL · On-site

Experience with parallel file systems. * Experience supporting research, scientific, academic, or computational computing environments. * Experience supporting grant-funded research infrastructure.

2T Consulting

Linux Systems Administrator

Aventura, FL · On-site

Experience with parallel file systems. * Experience supporting research, scientific, academic, or computational computing environments. * Experience supporting grant-funded research infrastructure.

2T Consulting

Linux Systems Administrator

Miami, FL · On-site

Experience with parallel file systems. * Experience supporting research, scientific, academic, or computational computing environments. * Experience supporting grant-funded research infrastructure.

2T Consulting

Linux Systems Administrator

Doral, FL · On-site

Experience with parallel file systems. * Experience supporting research, scientific, academic, or computational computing environments. * Experience supporting grant-funded research infrastructure.

2T Consulting

Linux Systems Administrator

Miami, FL · On-site

Experience with parallel file systems. * Experience supporting research, scientific, academic, or computational computing environments. * Experience supporting grant-funded research infrastructure.

2T Consulting

Linux Systems Administrator

Miami, FL

Experience with parallel file systems. * Experience supporting research, scientific, academic, or computational computing environments. * Experience supporting grant-funded research infrastructure.

2T Consulting

Linux Systems Administrator

Miami, FL · On-site

Experience with parallel file systems. * Experience supporting research, scientific, academic, or computational computing environments. * Experience supporting grant-funded research infrastructure.

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Showing results 41-60

All JobsParallel JobsParallel Jobs in Miramar, FL

Parallel information

See Miramar, FL salary details

$23.2K

$48.5K

$83.9K

How much do parallel jobs pay per year?

As of Sep 6, 2026, the average yearly pay for parallel in Miramar, FL is $48,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,100.00 and $55,100.00 per year, depending on experience, location, and employer.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What cities near Miramar, FL are hiring for Parallel jobs?

Cities near Miramar, FL with the most Parallel job openings:

Parallel jobs near you
Infographic showing various Parallel job openings in Miramar, FL as of August 2026, with employment types broken down into 2% As Needed, 78% Full Time, 18% Part Time, and 2% Contract. Highlights an 72% Physical, 6% Hybrid, and 22% Remote job distribution, with an average salary of $48,525 per year, or $23.3 per hour.

Linux Systems Administrator

2T Consulting

Hallandale, FL • On-site

Full-time

Posted 12 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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