ZipRecruiter

Log In

1

High Performance Computing Jobs (NOW HIRING)

Byrne Dairy

NY · On-site

$107.68 - $131.61/hr

The Center for Advanced Computing (CAC) at Cornell University seeks a senior systems administrator to design, deploy, and manage high performance computing (HPC) clusters and servers. Well-qualified ...

New

previous page

Showing results 41-60

All JobsTechnology JobsHigh Performance Computing Jobs

High Performance Computing information

See salary details

$40K

$99.5K

$153.5K

How much do high performance computing jobs pay per year?

As of Sep 2, 2026, the average yearly pay for high performance computing in the United States is $99,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $126,000.00 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.
More about High Performance Computing jobs

What cities are hiring for High Performance Computing jobs?

Cities with the most High Performance Computing job openings:

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

The most popular types of High Performance Computing jobs are:

What states have the most High Performance Computing jobs?

States with the most job openings for High Performance Computing jobs include:

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

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

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $99,528 per year, or $47.9 per hour.

High Performance Computing Software Engineer (Scientist 2)

Los Alamos National Laboratory

Los Alamos, NM • On-site

$152K/yr

Full-time

Re-posted 23 days ago

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 120 rated laboratories

Job description

Job Summary:
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a High Performance Computing Software Engineer to develop and optimize algorithms for multi-physics codes on high-performance computing platforms, while also conducting research and development in applied physics and engineering models.
Responsibilities:
• Develop and optimize cutting-edge algorithms for massively parallel multi-physics codes on heterogeneous high-performance computing platforms.
• Conduct research and development of applied physics and engineering models.
• Implement methods into production codes using excellent software development practices.
• Test and validate methods, and educate and support users as they adopt these methods.
Qualifications:
Required:
• Demonstrated professional knowledge in software modernization and performance optimization.
• Demonstrated experience with massively parallel numerical development and simulation, and experience deploying numerical algorithms to heterogeneous computing architectures.
• Recognized proficiency with modern C++.
• Experience in Fortran and C languages and the development of multi-physics scientific codes, including software engineering practices and user support.
• Demonstrated ability to function effectively in a team environment with a willingness to learn new skills and be flexible in work assignments.
• Exhibiting professional conduct in interactions with co-workers and supervisors.
• Experience mentoring students, postdocs and/or more junior staff.
• Bachelor's degree in a STEM field from an accredited college and university and 4 years of related experience, or equivalent experience directly related to the occupation.
Preferred:
• Advanced degree (MS or PhD) in applied mathematics, physics, engineering or related field.
• DOE Q Clearance
• Experience in C++ template metaprogramming and compile time programming techniques along with C++ standards knowledge.
• Experience with LANL's mission and research environment including impact on programmatic deliverables for the nuclear weapons program.
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Los Alamos National Laboratory employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply