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High Performance Computing Jobs in North Carolina

1 point system

Application Architect III

Charlotte, NC · On-site

Strong computer science fundamentals in object-oriented design, data structures, high-performance computing, algorithm design and problem solving. Knowledge of software engineering practices and best ...

Nvidia

HPC Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

NCSU

Research Integration Consultant

Raleigh, NC · On-site

$100K/yr

Broad knowledge of and experience with a variety of cyberinfrastructure systems and technologies (e.g., cloud computing, data storage, high performance computing (HPC) environments, networking ...

Nvidia

Senior ASIC Verification Engineer

Durham, NC · On-site

Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of High Performance Computing, Graphics and AI. Your base salary ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments. * Familiarity with security frameworks and ...

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High Performance Computing information

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$36.4K

$90.5K

$139.5K

How much do high performance computing jobs pay per year?

As of Aug 20, 2026, the average yearly pay for high performance computing in North Carolina is $90,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $114,500.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are the most commonly searched types of High Performance Computing jobs in North Carolina?

The most popular types of High Performance Computing jobs in North Carolina are:

What are popular job titles related to High Performance Computing jobs in North Carolina?

For High Performance Computing jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching High Performance Computing jobs in North Carolina look for?

The top searched job categories for High Performance Computing jobs in North Carolina are:

What cities in North Carolina are hiring for High Performance Computing jobs?

Cities in North Carolina with the most High Performance Computing job openings:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 13% Part Time, 7% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,451 per year, or $43.5 per hour.

Application Architect III

1 point system

Charlotte, NC • On-site

Contractor

Re-posted 20 days ago

Job description

Requirement - Application Architect III

Location- Charlotte NC 28255 (3 days hybrid)

Contract W2

Job Description/ Responsibilities

  • Design, develop, and implement software applications using the Appian low-code platform. Translate business requirements into functional Appian solutions, building process models, user interfaces, and integrations. Key responsibilities include understanding database concepts, participating in Agile development, and ensuring application performance and scalability.
    Key Responsibilities:
    Designing, developing, and deploying Appian applications, including process models, interfaces, record types, and integrations.
    Collaborating with stakeholders to understand business needs and translate them into technical solutions.
    Integrating Appian applications with other systems and third-party platforms using APIs and web services.
    Understanding database concepts and designing data models for applications.
    Following Agile methodologies, participating in sprint planning, and collaborating with project teams.
    Performing unit and system testing, debugging, and troubleshooting application issues.
    Ensuring optimal system performance and scalability of Appian applications.
    Keeping abreast of new features, enhancements, and best practices within the Appian platform
    Appian SAIL, SQL, Java
    Required Skills:
    Proficiency in Appian SAIL, Process Modeler, and Appian Sites.
    Strong understanding of Appian architecture and best practices.
    Knowledge of CDT/XSD creation in Appian
    Experience with REST APIs, web services, and other integration methods.
    Understanding of relational databases and data modeling.
    Experience with Agile development practices.
    Experience in SQL for data manipulation and querying.
    Experience in Java for plugins development.
    Strong experience in agent based intelligent control systems and reinforcement learning.
    Strong understanding of how Message Oriented Middleware works and any work performed in relevance of it.
    Preferred knowledge about Hibernate/Spring concepts
    Basic knowledge of MVC Framework (Model, View, Controller) in the context of Appian.
    Good troubleshooting skills and be able to work in a team environment.
    Experience with implementing numerical methods and data visualization.
    Hands-on in symbolic programming, event-based system design.
    Experience in software development of multi-threaded, scalable and highly-available distributed systems.
    Strong computer science fundamentals in object-oriented design, data structures, high-performance computing, algorithm design and problem solving.
    Knowledge of software engineering practices and best practices for software development.
    Experience with OCR AI capabilities is must.