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High Performance Computing Jobs in North Carolina

Nvidia

Senior Architect, Data Center Modeling

Durham, NC

$65 - $87/hr

At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers ...

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the ...

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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.

Distinguished Signal Integrity Engineer

Ampere Computing LLC

Durham, NC • On-site

$279K - $419K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 29 days ago

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute .
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the role:
Our Hardware Design Engineering organization is seeking a Distinguished Signal Integrity Engineer to be part of a team implementing high-performance solutions for high-bandwidth, connectivity-intensive multi-core processor products, requiring co-design of silicon, package, and PCB
What you'll achieve:
  • Design/simulate/validate high-performance interconnect solutions, while working with chip designers, package designers, as well as PCB designers (of Ampere and external customers), to achieve end-to-end solutions that provide robust signal integrity performance
  • Develop layout guidelines - package and PCB - and SI/PI documentation for use by internal and external customers
  • Support product bring-up and customer engagements
  • Drive state-of-the-art signal integrity analysis methodologies
  • Influence Ampere's technology roadmap by delivering technical leadership in next-generation interconnects, advanced packaging, and cross-functional system co-design

About you:
  • Experience in designing high-performance signal interconnect solutions
  • Preferred to have experience with both large body-size electronic packages and high-performance PCBs
  • Deep knowledge of transmission line and electromagnetic theory related to signal integrity and power integrity
  • Good working experience of parallel and serial interfaces, with emphasis on deep expertise for high speed SerDes such as PCI-gen5/6/7 and/or USB/USB-C, etc.
  • Knowledge of different simulation methodologies, time domain and statistical, with the ability to create and simulate 3D models in tools like HFSS, SIWave and PowerSI
  • Familiarity with link timing budgeting
  • Expert of end-to-end channel modeling (using HFSS/SIWAVE/PowerSI) and link budget analysis with both time domain and statistical simulation
  • Understanding of behavioral IO models (IBIS, IBIS-AMI) and different equalization techniques, CTLE, DFE and TX equalization.
  • In depth understanding of SerDes TX/RX equalization techniques and its modeling in IBIS-AMI
  • Understanding of AC/DC power delivery, power integrity analysis and how to perform simultaneous switching noise analysis for memory interfaces.
  • Good understanding of power delivery impact on clocking and IO
  • Good understanding of stack up manufacturing process and design limitations considering DFM
  • Strong communication, interpersonal and collaboration skills
  • Electrical or Computer Engineering - Bachelor's degree & 15 years of related experience; or master's degree & 12 years; or PhD & 8 years

What we'll offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $279,500 and $419,500, except in the San Francisco Bay Area where the range is between $293,000 and $440,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.
And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process.
#LI-TC
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

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