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Hpc Engineer Jobs in Dallas, TX (NOW HIRING)

HPC Systems Engineer Contract: 3 to 6 Months + Possibility to extend Location: Remote, USA Required Experience: The HPC Systems Engineer supports storage, networking, GPU systems, and compute ...

HPC Systems Engineer Contract: 3 to 6 Months + Possibility to extend Location: Remote, USA Required Experience: The HPC Systems Engineer supports storage, networking, GPU systems, and compute ...

The Position The HPC Storage Engineering team manages our high performance scalable storage in excess of 200 petabytes. We are responsible for the design, deployment, and operation of this storage ...

The Position The HPC Storage Engineering team manages our high performance scalable storage in excess of 200 petabytes. We are responsible for the design, deployment, and operation of this storage ...

The HPC Storage Engineer will design, deploy, and manage scalable storage systems to support research workloads, collaborating with researchers and software engineers to optimize workflows.

HPC Network Architect

Dallas, TX · On-site

$120 - $150/hr

Its engineers build critical infrastructure to eliminate friction in scientific research ... This role is critical to ensuring that our HPC facility delivers secure, scalable, and reliable ...

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Hpc Engineer information

See Dallas, TX salary details

$23.7K

$106.8K

$170.1K

How much do hpc engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for hpc engineer in Dallas, TX is $106,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $132,100.00 per year, depending on experience, location, and employer.

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.

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 most commonly searched types of Hpc Engineer jobs in Dallas, TX? The most popular types of Hpc Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Hpc Engineer jobs? Cities near Dallas, TX with the most Hpc Engineer job openings:
Infographic showing various Hpc Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $106,794 per year, or $51.3 per hour.

HPC System Engineer

3B Staffing LLC

Murphy, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role: HPC Systems Engineer Contract: 3 to 6 Months + Possibility to extend Location: Remote, USA Required Experience: The HPC Systems Engineer supports storage, networking, GPU systems, and compute environments, ensuring system performance, availability, and reliability while troubleshooting issues and supporting users. Storage Administration (NetApp)
  • Administer NetApp storage systems (volumes, aggregates, qtrees, snapshots)
  • Manage replication technologies (SnapMirror, SnapVault)
  • Monitor storage performance (I/O, latency, capacity) and report on trends
  • Troubleshoot storage issues impacting HPC workloads
  • Maintain backup, recovery, and data protection policies Network Administration (Arista)
  • Configure and maintain Arista switches within HPC environments
  • Manage VLANs, ACLs, and link aggregation
  • Support network documentation, topology diagrams, and change management NVIDIA DGX & GPU Systems
  • Support NVIDIA DGX systems including health checks, driver updates, and OS maintenance
  • Monitor GPU utilization, thermal performance, and interconnects (DCGM, nvidia-smi)
  • Troubleshoot and escalate hardware or performance issues HPC Operations
  • Perform system health checks, patching, and firmware updates on HPE servers
  • Support HPC schedulers such as Slurm or PBS (queue monitoring, job troubleshooting)
  • Maintain documentation, runbooks, and operational logs Requirements:
  • 3-5 years of Linux systems administration or HPC infrastructure experience
  • Experience supporting GPU-based systems (NVIDIA preferred)
  • Strong command-line troubleshooting across distributed systems
  • Solid communication and documentation skills
  • Preferred: Advanced Linux experience (7-10+ years)
  • Preferred: Experience with Slurm or similar schedulers
  • Preferred: Exposure to HPCM or parallel file systems