Research Computing Software Engineer - HPC & Data Tools

Applied Research Laboratory at the Penn State University; Reston (VA); On-site; USD 111,000 - 210,000; Full time

Benefits offered by this job

75% tuition discount

On-site locations in PA/VA

Job summary

Applied Research Laboratory at the Penn State University seeks a Research Computing Software Engineer to support VDS research in software solutions for computational workflows. The role involves on-site work in State College, PA or Reston, VA, with DoD-related research activities in cloud and HPC environments.

You will lead engineers and researchers, develop scalable software, and optimize performance for demanding scientific workloads, while ensuring robust documentation and support for users.

Qualifications

• Bachelor’s degree required with 6+ years of relevant experience; or an equivalent combination of education and experience.
• Experience with scientific computing software is a plus.
• Ability to work in DoD-related classified environments preferred.

Responsibilities

• Develop, deploy, enhance, and maintain software for research computing needs.
• Implement efficient algorithms and data structures for large datasets.
• Write clean, well-documented code using modern languages.
• Integrate solutions with cloud platforms and HPC environments.
• Collaborate with engineers and researchers to ensure tool functionality.
• Analyze and optimize software performance for high-demand workloads.
• Provide troubleshooting and support for researchers.

Skills

Code analysis

Cross-team collaboration

Data Analysis

Presentation Skills

Programming

Software architecture

Software development

Software testing

Technology acumen

Trend analysis

Education

Bachelor’s Degree

Job description

Applied Research Laboratory at the Penn State University seeks a Research Computing Software Engineer to support VDS research in software solutions for computational workflows. The role involves on-site work in State College, PA or Reston, VA, with DoD-related research activities in cloud and HPC environments.

You will lead engineers and researchers, develop scalable software, and optimize performance for demanding scientific workloads, while ensuring robust documentation and support for users.