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High Performance Computing information

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$39.7K

$98.9K

$152.5K

How much do high performance computing jobs pay per year?

As of Aug 18, 2026, the average yearly pay for high performance computing in Baltimore, MD is $98,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $125,200.00 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 popular job titles related to High Performance Computing jobs in Baltimore, MD?

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

What job categories do people searching High Performance Computing jobs in Baltimore, MD look for?

The top searched job categories for High Performance Computing jobs in Baltimore, MD are:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $98,894 per year, or $47.5 per hour.

Software Engineer (High Performance Computing)

Fuse Engineering LLC

Annapolis, MD • On-site

Full-time

Re-posted 4 days ago

Job description

Task Description
The Software Engineer shall be responsible for software development activities for a tiered Zero-touch provisioning (ZTP) and infrastructure automation (IA) solution for the bring-up and hands-off automation of complex High Performance Computing Systems. Software development activities include requirements analysis, design, implementation, testing, and sustainment. The primary focus is on integrating COTS and FOSS products, packages, and libraries. The Software Engineer must have a demonstrated understanding of the software development lifecycle.
Required Skills
§ Experience using the Unix CLI
§ Experience with scripting using Bash/Python
§ Experience developing with multiple programming languages such as C, Java, and Python in a Unix environment
§ Experience with software frameworks used for searching, monitoring, and analyzing big data such as Splunk and Elastic Stack
§ Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL
§ Experience with NoSQL technologies such as MongoDB and Elasticsearch
§ Experience with containerization technologies such as Docker
§ Experience with CI/CD principles, methodologies, and tools such as GitLab CI and Jenkins
§ Experience with IaC (Infrastructure as Code) principles and automation tools such as
Ansible, SaltStack, and Terraform
§ Experience with designing, implementing, and using REST and/or RPC APIs
Desired Skills
§ Experience with Messaging Frameworks such as Kafka, ActiveMQ, and RabbitMQ
§ Experience with tools used for metrics visualization such as Grafana and Kibana
§ Experience with Git Source Control System
§ Experience with the Atlassian Tool Suite (JIRA, Confluence)

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