Leidos · 1 day ago
Scientific Data Visualization Specialist
Aberdeen, MD
Full-time
Onsite
Mid Level
$87K/yr - $157K/yr
4+ years expLeidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. They are seeking a Scientific Data Visualization Specialist to support the High Performance Computing Modernization Program, focusing on data analysis and visualization activities.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Supports and provides robust interactive data analysis tools (such as ParaView, VisIt and EnSight) which are configured by to run in a client-server mode from HPC systems to local user workstations, and a special home-grown VNC solution called the Secure Remote Desktop
Participates in cross-HPCMP collaborations with customers, contractors, and technology partners, and maintains a working relationship with other government entities such as the Department of Energy to promote and advance data analysis and visualization applications
Install, maintain, and optimize scientific visualization and data analytic tools
Design and develop methods and workflows supporting HPCMP users who have varying levels of understanding regarding data and visualization techniques
Curation of data from disparate HPC systems to support custom visualization needs of the customer
Actively work with HPC vendors, Gov personnel, and security staff to ensure appropriate DAV Center tools are functional, supported, and persistent after upgrades or security changes
Ensure isosurface inputs are consumable by DAV Center visualization software and workflows. If data is not consumable, develop a methodology to convert the data into an appropriate format taking that burden off of the user
Serves as a subject matter resource available to assist with scientific data visualization tasks/projects. This includes, partnering with the user to understand their goals, code, workflow, and intended outcome to develop and design a successful path forward. Often involves custom methods to meet the needs of each project
Qualification
Required
All Candidates must be able to obtain a Top Secret Clearance
Bachelors and four (4) years or more experience. The candidate should have a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree that included a major field of study in professional engineering, computer engineering, software design, or computer science
Additional years of experience may be substituted to satisfy educational requirements
Familiar with at least one of the following data analysis packages: ParaView, VisIt, EnSight
Scientific visualization, data analysis and high performance computing
Working knowledge of Linux/Unix OS, shell scripting
Familiar with HPC workload managers such as PBS, SLURM, or LSF
Familiar with MPI tools, compiling ParaView and Visit from Superbuild scripts, using CMake
Programming familiarity with C++, Python, Fortran, working with GIT repositories
SSH familiarity including tunneling, reverse tunneling, and port forwarding
Excellent problem solving and debugging skills
Preferred
Masters degree and two (2) years of related experience
Excellent customer interaction skills including written and verbal communication
Team oriented individual capable of multi-tasking in a dynamic, demanding environment
Organizational skills to balance and prioritize work in a dynamic work environment, and persistence to follow-through on tasks
Benefits
Health and Wellness programs
Income Protection
Paid Leave
Retirement
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
Leadership Team
James Carlini
Chief Technology Officer
Theodore Tanner
Chief Technology Officer
Recent News
MarketScreener
2025-12-16
2025-12-16
Company data provided by crunchbase