Lead Research Computing Engineer - HPC/Cloud

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

Job summary

The Applied Research Laboratory at Penn State University in State College, PA or Reston, VA seeks a Research Computing Software Engineer to join the Visualization and Decision Support Division. You will develop and maintain software for research computing in DoD-relevant projects.

This on-site role leads a team of engineers and researchers, implements efficient algorithms for large data, and collaborates across divisions to integrate cloud platforms and research infrastructure.

Qualifications

• Bachelor's Degree with 6+ years of relevant experience or an equivalent combination of education and experience.
• For Advanced Professional: Bachelor's Degree with 3+ years of relevant experience or equivalent.
• Background checks and security clearance requirements.

Responsibilities

• Develop, deploy, maintain software applications for research computing.
• Implement efficient algorithms for large datasets.
• Write clean, well-documented code using modern programming languages.
• Integrate software solutions with cloud platforms and research infrastructure.
• Lead a team of engineers and researchers to fulfill the mission.
• Create comprehensive documentation for software tools and troubleshooting procedures.

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

The Applied Research Laboratory at Penn State University in State College, PA or Reston, VA seeks a Research Computing Software Engineer to join the Visualization and Decision Support Division. You will develop and maintain software for research computing in DoD-relevant projects.

This on-site role leads a team of engineers and researchers, implements efficient algorithms for large data, and collaborates across divisions to integrate cloud platforms and research infrastructure.