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High Performance Computing Hpc Jobs in Houston, TX

SUBMER

Senior AI Data Center Electrical Engineer

Houston, TX · On-site

$102K - $133K/yr

  • Medical

  • Retirement

We are seeking a Senior AI Data Center Electrical Engineer to lead the electrical power design, implementation, and optimization of high-performance computing (HPC) and AI data centers. This critical ...

MRI Technologies

HPC Linux System Administrator

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This will include High Performance Compute (HPC) administration, high-end Linux workstation ... of JSC's most critical computing environments supporting human spaceflight. Proof of U.S.

MRI Technologies

HPC Linux System Administrator

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This will include High Performance Compute (HPC) administration, high-end Linux workstation ... of JSC's most critical computing environments supporting human spaceflight. Proof of U.S.

MRI Technologies

HPC Linux System Administrator

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This will include High Performance Compute (HPC) administration, high-end Linux workstation ... of JSC's most critical computing environments supporting human spaceflight.Proof of U.S.

Cgg

Scientific Software Developer

Houston, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... proprietary high-performance computing applications on GPU and CPU architectures, this position ... Highly experienced in scientific computing on various types of HPC architecture * Experience with ...

Viridien

Scientific Software Developer

Houston, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... proprietary high-performance computing applications on GPU and CPU architectures, this position ... Highly experienced in scientific computing on various types of HPC architecture * Experience with ...

Viridien

Scientific Software Developer

Houston, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... proprietary high-performance computing applications on GPU and CPU architectures, this position ... Highly experienced in scientific computing on various types of HPC architecture * Experience with ...

Raytheon

Principal Antenna and Radome Engineer

Houston, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency with high performance computing (HPC) environments and schedulers such as SLURM What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more ...

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Showing results 41-60

All JobsHigh Performance Computing Hpc JobsHigh Performance Computing Hpc Jobs in Houston, TX

High Performance Computing Hpc information

See Houston, TX salary details

$31K

$65.2K

$107K

How much do high performance computing hpc jobs pay per year?

As of Aug 16, 2026, the average yearly pay for high performance computing hpc in Houston, TX is $65,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $79,300.00 per year, depending on experience, location, and employer.

What is the difference between High Performance Computing Hpc vs Data Scientist?

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are popular job titles related to High Performance Computing Hpc jobs in Houston, TX?

For High Performance Computing Hpc jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching High Performance Computing Hpc jobs in Houston, TX look for?

The top searched job categories for High Performance Computing Hpc jobs in Houston, TX are:

High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Houston, TX as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $65,176 per year, or $31.3 per hour.

Senior AI Data Center Electrical Engineer

SUBMER

Houston, TX • On-site

$102K - $133K/yr

Full-time

Medical, Retirement

Re-posted 10 days ago

Job description

**Unfortunately, we are not able to provide work authorization in the US for this position.
We are seeking a Senior AI Data Center Electrical Engineer to lead the electrical power design, implementation, and optimization of high-performance computing (HPC) and AI data centers. This critical role focuses on delivering reliable, scalable, and efficient power infrastructure for next-generation GPU-accelerated systems at massive scale. You will drive projects involving large-scale (100-300 MW) HPC/AI facilities as well as modular data center deployments (1-2MW per MDC) that aggregate into 50-300 MW sites, with deep understanding of NVIDIA Grace Blackwell (GB300) and Vera Rubin (VR200) reference architectures.
What impact you will have
  • Design, specify, and optimize medium-voltage (MV) and low-voltage (LV) electrical distribution systems for hyperscale and modular HPC/AI data centers, including switchboards, overhead busways, circuit breakers, transformers (including ML/VL types), PDUs, RPPs, grounding, and protection systems.
  • Lead power architecture for NVIDIA GB300 (Grace Blackwell) and VR200 (Vera Rubin) Superpod/reference deployments, addressing high-density rack power requirements (e.g., 120-160 kW+ per NVL72 rack), liquid cooling integration, power smoothing, and synchronous load management.
  • Develop and implement Battery Energy Storage Systems (BESS), UPS, generators, and backup power solutions to ensure 99.999% uptime and grid stability for AI/HPC workloads.
  • Architect modular data center solutions (1-2 MW containers/pods) that scale efficiently into larger 50-300 MW+ HPC/AI sites, focusing on rapid deployment, standardization, and interoperability.
  • Perform power system studies (short circuit, arc flash, coordination, load flow, harmonics, grounding) and ensure compliance with NEC, NFPA, IEEE, and other relevant codes/standards.
  • Collaborate with mechanical, structural, and IT teams on MEP (Mechanical, Electrical, Plumbing) integration, including 480V AC and 800V DC architectures, overhead busway distribution, and high-current delivery systems.
  • Create and be able to explain detailed single-line power flow diagrams, providing full specifications, justification for design decisions to both technical and non-technical customers.
  • Support construction, commissioning, and operations phases: review drawings, specifications, and submittals; troubleshoot issues; and optimize for efficiency, capacity planning, and cost.
  • Evaluate and integrate emerging technologies for power density, energy efficiency, and sustainability in AI factories.
  • Mentor junior engineers and contribute to the development of company standards and best practices for data center electrical infrastructure.
What you'll have
  • Bachelor's degree (or higher) in Electrical Engineering, Power Systems, or a related field. PE license preferred.
  • 10+ years of progressive experience in electrical engineering for mission-critical facilities, with at least 5 years focused on large-scale data centers.
  • Proven experience designing and deploying HPC/AI data centers at scale in the 100-300 MW range.
  • Hands-on experience with modular data centers (1-2 MW units) that aggregate into 50-300 MW sites.
  • Deep expertise in NVIDIA Grace Blackwell (GB300) and Vera Rubin (VR200) reference architectures, including power delivery, in-line BESS, transformers, switchgear, busways, power-smoothing, and related MEP requirements.
  • Strong knowledge of high-density power systems: MV/LV switchgear, overhead busways, circuit breakers, PDUs, BESS, UPS, generators, power smoothing, and harmonic mitigation.
  • Experience with power system analysis tools (ETAP, SKM, etc.) and commissioning processes.
  • Excellent problem-solving, communication, and leadership skills with the ability to work in fast-paced, cross-functional environments.
Preferred Qualifications
  • Experience with liquid-cooled, high-power-density racks (100+ kW) and rack-scale systems like NVIDIA NVL72 / SuperPOD.
  • Familiarity with Grid-to-Rack power distribution, all MEP equipment in single-line power specification, 13.8kV/34.5kV to IT white spaces with 480V AC and/or 800V DC power distribution, BESS integration, and renewable/grid-tied systems.
  • Background in hyperscale operators, colocation providers, or AI infrastructure projects.
  • Knowledge of data center standards (Uptime Institute, TIA-942) and safety protocols (NFPA 70E, OSHA).

What we offer
  • Attractive compensation package reflecting your expertise and experience.
  • Medical Insurance Plan.
  • 401k Employee volunteer contribution Plan.
  • A great work environment characterized by friendliness, international diversity, flexibility, and a hybrid-friendly approach.
  • You'll be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution.

Our job titles may span more than one job level. The actual base pay is dependent on a number of factors, such as transferable skills, work experience, business needs, and market demands.
Our inclusive responsibility
Submer is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.
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