ZipRecruiter

Log In

1

High Performance Computing Jobs in Maryland (NOW HIRING)

Cymertek

HPC Software Engineer

Annapolis Junction, MD · On-site

Citizenship) KEY SUMMARY We are seeking an innovative and driven HPC (High-Performance Computing) Software Engineer to develop and optimize software solutions for cutting-edge computational ...

previous page

Showing results 41-60

All JobsHigh Performance Computing JobsHigh Performance Computing Jobs in Maryland

High Performance Computing information

See Maryland salary details

$38.8K

$96.6K

$149K

How much do high performance computing jobs pay per year?

As of Sep 3, 2026, the average yearly pay for high performance computing in Maryland is $96,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $122,300.00 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 Maryland?

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

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

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

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

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

What cities in Maryland are hiring for High Performance Computing jobs?

Cities in Maryland with the most High Performance Computing job openings:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $96,596 per year, or $46.4 per hour.

Sr. HPC Systems Engineer (IT@JH Research Computing)

Johns Hopkins University

Baltimore, MD • On-site

$103K - $142K/yr

Full-time

Re-posted 17 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 628 rated colleges and universities

Job description

IT@JH Research Computingis seeking a Sr. HPC Systems Engineer who will design, build, and maintain advanced high-performance computing environments supporting Johns Hopkins University's research mission. This position focuses on the reliable operation, configuration, and optimization of HPC and AI systems, including multi-node CPU and GPU clusters, high-speed InfiniBand and Ethernet networks, and large-scale parallel and object storage. The engineer implements and automates secure, efficient, and reproducible computing platforms used by faculty, researchers, and students across diverse scientific disciplines. Assignments include both ticket-based support and project-based deployments. The role operates with moderate independence, collaborating closely with the IT Architect, Research Computing, and reporting to the IT Manager for Research Computing to ensure scalable, sustainable, and high-performance systems that enable cutting-edge scientific discovery.
Specific Duties & Responsibilities
  • Support and administer production systems used by researchers and Research Centers.
  • Provide technical leadership/project management for system configuration, implementation, management, and user support for both new and existing systems.
  • Research and recommend new functionality for HPC management and administration tools by exploring system-wide impacts, working with functional users to define current and future processes.
  • Expertise with architecting, operating, and debugging large scale HPC network and storage infrastructure, including MPI, NCCL, RDMA, Infiniband, and parallel file systems
  • Works with scientific support specialists and assigns tasks and provides oversight as appropriate to HPC engineering team to support scientific researchers who use a broad spectrum of applications from diverse fields.
  • Analyze results of server monitoring and implement changes to improve performance, processing, and utilization.
  • Propose, maintain, and enforce policies, practices and security procedures.
  • Provide break/fix support, setup/installation support, escalation support, and solutions support.
  • Collaborate closely with a variety of stakeholders, both internal and external, on all aspects of projects.
  • Other duties as assigned.

In Addition to the Duties Described Above
  • Deploy, configure, and maintain large-scale Linux-based HPC clusters comprising CPU and GPU nodes, high-speed interconnects, and parallel file systems.
  • Implement and optimize workload schedulers (Slurm) and job submission policies to maximize system throughput and fair-share usage.
  • Administer and monitor distributed storage systems (GPFS, Lustre, WekaFS, Ceph, MinIO) to ensure reliability and performance across multi-petabyte environments.
  • Maintain high-speed fabric and network infrastructure (Infiniband, Ethernet) to support low-latency data transfer and MPI workloads.
  • Support research groups in deploying, testing, and optimizing scientific applications and AI/ML workflows on shared computing resources.
  • Develop and maintain automation and monitoring frameworks for system provisioning, metrics collection, and alerting (Prometheus, Grafana, ELK).
  • Participate in capacity planning, hardware lifecycle management, and evaluation of new technologies in collaboration with architects and management.
  • Ensure security and compliance through configuration hardening, patch management, and integration with campus identity and access control systems.
  • Document system designs, procedures, and troubleshooting guides to support knowledge transfer and team continuity.
  • Contribute to a collaborative engineering culture that emphasizes service quality, innovation, and continuous improvement in research computing operations.

Minimum Qualifications
  • Bachelor's degree.
  • Six years of related experience.
  • Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • Eight plus years of experience in high-performance computing systems administration or engineering, including experience with cluster management, workload scheduling (e.g., Slurm), and distributed or parallel storage.
  • Deep proficiency in Linux systems administration, configuration management (Ansible, Puppet, or Salt), performance monitoring, and tuning for HPC workloads.
  • Experience with high-speed interconnects (Infiniband, 100/400 Gb Ethernet) and parallel file systems (e.g., GPFS, Lustre, BeeGFS, or WekaFS).
  • Working knowledge of containerization and orchestration (Singularity, Docker, Kubernetes for HPC).
  • Ability to automate deployments and routine operations through scripting (Bash, Python).
  • Familiarity with data-center operations, GPU acceleration, and research software environments (e.g., CUDA, MPI, AI/ML frameworks).
  • Strong analytical and troubleshooting skills, with proven ability to support complex research workloads in multi-user, multi-tenant environments.
  • Experience collaborating with faculty and research groups to translate scientific requirements into practical and performant computing solutions.

Classified Title: Sr. HPC Systems Engineer
Role/Level/Range: ATP/04/PF
Starting Salary Range: $85,500 - $149,800 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Mon-Fri, 8:30am-5pm
FLSA Status: Exempt
Location: Johns Hopkins Bayview
Department name: IT@JH Research Computing
Personnel area: University Administration

What Johns Hopkins University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Johns Hopkins University logo

About Johns Hopkins University

Sourced by ZipRecruiter

Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

View All Johns Hopkins University Jobs

Apply