HPC Software Support Engineer

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

NACI (T1)

Job Family:

Systems Engineering

Job Qualifications:

Skills:

Graphics Processing Units (GPUs), HPC, Software Support, Teamwork

Certifications:

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

As an HPC Software Support Engineer, you will bridge the gap between our researchers and the computing resources. You will be one of the faces of our High Performance Compute (HPC) clusters to the NIAID research community who will rely on you to help them get their important research work done.  You will focus on installing scientific applications, optimizing submission scripts and running jobs, and monitoring the health of NIAID’s HPC clusters; a 4000+ core HPC cluster that is GPU-focused and a 1,500+ core HPC cluster.

Work Visa sponsorship is not provided for this position.

HOW AN HPC SOFTWARE SUPPORT ENGINEER WILL MAKE AN IMPACT:

• Work with a 4000+ core HPC cluster that is GPU-focused and a 1,500+ HPC cluster, including installing and supporting bioinformatics applications for a large and diverse research community with needs in genomics, cryo-electron microscopy, and AI/ML
• Monitor the portfolio of software applications and be proactive in planning upgrades and license renewals
• Monitor and report on cluster performance and generate data to show usage and trends
• Triage support requests from the research community and work with others in the Scientific Infrastructure team to resolve issues and complete service requests
• Collaborate with researchers to guide them in effective use of the HPC resources, such as job scheduler submission, data formats, and building data workflows
• Engage with researchers to understand their HPC needs to include data life cycle management, integration of scientific instruments to HPC, and storage capacity and compute requirements
• Provide input to the Scientific Infrastructure team leader for setting priorities for cluster operations, scheduling policies, resources needed, etc.

WHAT YOU’LL NEED TO SUCCEED:

Required Experience:  Minimum of five years of related experience

Education:  BS/BA (or equivalent)

Required Technical Skills:

• Minimum of five years of experience with HPC technologies
• Experience with Spack package manager, including making packages from PyPi, R, Github
• Experience with Slurm job scheduling, including troubleshooting job status and optimizing submission scripts
• Experience installing and packaging GPU applications and optimizing job submission scripts that are used for ML model training, data mining operations, or high-res graphics rendering
• Minimum of four years of Python scripting experience
• Experience using Git to manage shared software configuration code

Security Clearance Level:   Must be able to obtain a NIH Public Trust

Required Skills and Abilities:

• Ability to translate technical concepts in HPC and research computing to scientists and other non- technical personnel
• Ability to determine meaningful metrics and usage data for leadership

Location: This position is around 80% remote from home. However you must reside within commuting distance to the 5601 Fishers Lane client site in Rockville, MD or be able to travel at your own expense to the office as needed to meet contractual obligations and project needs. 

GDIT IS YOUR PLACE:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

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The likely salary range for this position is $123,250 - $166,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at