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High Performance Computing Hpc Jobs (NOW HIRING)

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

Overview iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean ... The ideal candidate will bring deep technical expertise in large-scale HPC environments, cluster ...

Future Ventures

$95K - $131K/yr

Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. HIGH PERFORMANCE COMPUTING (HPC) SYSTEMS ENGINEER SpaceX is ...

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High Performance Computing Hpc information

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

As of Sep 11, 2026, the average yearly pay for high performance computing hpc in the United States is $68,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $83,000.00 per year, depending on experience, location, and employer.

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 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 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.

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High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,249 per year, or $32.8 per hour.

High Performance Computing (HPC) Technology Systems Engineer VI

Fort George G Meade, MD • On-site

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Beyond SOFexternal

$215K/yr

Other

Posted 9 days ago

Job description

High Performance Computing (HPC) Technology Systems Engineer VI
  • Fort George G Meade, MD

Salary: $215K based on education and experience
Security Requirements: Active TS/SCI clearance w/ FS Poly
Location: FT. Meade, MD., National Business Park

Education

Bachelor's degree or advanced degree in computer science, information systems, engineering or other related discipline plus at least 20 years of systems engineering experience. A Master's degree or PhD may be substituted for two years of experience. A high school diploma or GED plus 24 years of systems engineering experience would also be acceptable.

Certifications

None.

Job Description

As an HPC Technology SE6, you will provide systems engineering support to the HPC Technology team that can evaluate, integrate, and understand the operations of cutting-edge, emerging systems' capabilities with the emphasis on applying systems to unique HPC requirements. Responsibilities include supporting the following:

  • Evaluation of vendor's system architecture and development environment with analysis of systems' ability to satisfy unique HPC requirements.
  • Conducting a thorough evaluation of Machine-Learning capabilities.
Individual Capabilities/Experience Required
  • Experience in developing a new or innovative approach to a technical or engineering issue and evaluating requirements to determine system suitability.
  • Strong experience/interest in Machine-learning capabilities.
  • Background in Hands-on systems analysis; computer architecture and operating environment.
  • Experience with high-level programming languages.
  • Understanding of computational complexity, experience with signal processing.
  • Ability to work independently on high-level technical tasking; learn vendor-specific language.
Individual Capabilities/Experience Desired
  • Experience with IC industry and customer.
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