# HPC Technical Lead

**Company**: GDIT
**Location**: College Park, MD
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $211,531 - $286,189
**Category**: Engineering
**Industry**: Technology

**Apply**: https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/USA-MD-College-Park---Customer-Proprietary-MDC016/HPC-Technical-Lead_RQ232331?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/hpc-technical-lead-1ed75b1b-688/

## Description

GDIT is seeking an HPC Technical Lead to support an upcoming contract for FDA activities in College Park, MD. The High-Performance Computing (HPC) Technical Lead is a technical expert guiding the architecture, optimization, and evolution of Food and Drug Administration’s (FDA) high-performance computing and scientific data ecosystems.

This role bridges scientific research needs with advanced computing solutions, delivering technical leadership across a world-class government organization. The position will draw on your expertise in all aspects of scientific computing including HPC, storage, scientific applications, and networking infrastructure, to guide and implement solutions for a diverse scientific user community.

Under your leadership, you will be responsible for developing and implementing customer support policies and procedures with a focus on metrics-driven execution to ensure that scientific and computational services are delivered to our client on time and efficiently.

Primary activities include:

- Interface with federal and contractor stakeholders including both scientists and technologists to ensure technical requirements aligned to mission needs.

- Design HPC architectures in support of scientific business needs.

- Serve as the senior technical authority for scientific HPC operations.

- Guide and manage HPC delivery teams responsible for managing both infrastructure and scientific applications and workloads such as genomics, bioinformatics, modeling, simulation, statistical computing, and AI/ML pipelines.

- Support integration of laboratory instruments, scientific workstations, private networks, middleware, and specialized scientific software.

- Troubleshoot complex issues across distributed compute systems, storage platforms, scientific applications, and instrument-connected environments.

- Prepare technical documentation, configuration guidance, and engineering recommendations.

**Requirements:**

- 10+ years of related experience.

- Bachelor's Degree in Computer Science, Engineering, Mathematics, or related technical field.

- Experience with High-Performance Computing (HPC).

- Expertise with Linux environments, HPC schedulers, GPUs, and peta-scale storage systems.

- Experience supporting research computing users and their associated workloads.

- Ability to communicate technical concepts to scientists, engineers, and program stakeholders.

- Experience managing people.

**Desired Qualifications:**

- Master's Degree or PhD in Computer Science, Engineering, Scientific Computing, or related field.

- Experience with core HPC tooling including schedulers (e.g., slurm, TORQUE/Moab), storage (e.g., GPFS, Lustre), and advanced HPC networking (e.g., MPI, Infiniband).

- Experience with genomics, next-generation sequencing, or bioinformatics pipelines.

- Experience performance tuning user workloads (e.g., job sizing, code porting, compilation, parallelization, GPU acceleration).

- Knowledge of cloud/HPC hybrid architectures (AWS preferred).

- Experience supporting scientific computing in federal environments.

**Benefits:** Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.

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## Skills

### Required
- High-Performance Computing (HPC)
- Linux environments
- HPC schedulers
- GPUs
- peta-scale storage systems
- Networking

### Nice to have
- genomics
- next-generation sequencing
- bioinformatics pipelines
- cloud/HPC hybrid architectures
- AWS

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