# 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_RQ226097-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bbebe9cf-f15

## Description

Seize your opportunity to make a personal impact as a HPC Technical Lead supporting FDA activities. GDIT is your place to make meaningful contributions to challenging projects, build your skills, and grow a rewarding career.

The High-Performance Computing (HPC) Technical Lead is the senior 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, providing technical leadership across HPC clusters, parallel storage, scientific applications, cloud/HPC hybrid environments, and performance engineering.

Responsibilities:

- Serve as the senior technical authority for HPC operations, architecture, and performance optimization across compute, schedulers, networking, and storage.

- Support scientific workloads including genomics, bioinformatics, modeling, simulation, statistical computing, and AI/ML pipelines.

- Optimize user workloads through job sizing, code porting, compilation, parallelization, GPU acceleration, and performance tuning.

- Lead technical strategy for scientific data storage, parallel file systems, high‑speed networking, data movement, and large‑scale data workflows.

- Provide guidance on future‑state HPC and hybrid cloud architectures, expansion planning, and modernization initiatives.

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

- Coordinate with FDA scientists and computational users to ensure computing resources match scientific mission needs.

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

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

Requirements:

- 10–12+ years of experience in HPC engineering, scientific computing, bioinformatics platforms, or advanced research infrastructure.

- Strong experience with High-Performance Computing (HPC).

- Strong expertise with Linux environments, HPC schedulers, parallel computing, GPUs, and large‑scale storage systems.

- Experience optimizing scientific workloads and supporting research computing users.

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

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

- Ability to obtain a Public Trust.

Desired Qualifications:

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

- Experience with Slurm, TORQUE/Moab, GPFS, Lustre, MPI, or containerized scientific environments.

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

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

- Experience supporting scientific computing in federal environments.

Benefits:

- Comprehensive benefits and wellness packages.

- 401K with company match.

- Competitive pay and paid time off.

- Flexible work arrangements.

Location: HYBRID - Employee must be willing to report onsite in College Park, MD (primary office) or Gaithersburg, MD several days a week.

## Skills

### Required
- High-Performance Computing (HPC)
- Linux environments
- HPC schedulers
- parallel computing
- GPUs
- large‑scale storage systems
- bioinformatics

### Nice to have
- Slurm
- TORQUE/Moab
- GPFS
- Lustre
- MPI
- containerized scientific environments
- genomics
- next‑generation sequencing
- cloud/HPC hybrid architectures (AWS)

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