HPC Technical Lead

General Dynamics

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Silver Spring, MD
Salary
$211,531–$286,189 / yr
Posted
76 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $249k
$126k $303k
below market most similar roles pay here above market

This role pays more than 91% of similar roles. Most pay $161,187–$215,000 — the blue band above. At the midpoint, this role pays about $249k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1377 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1184 roles with salary data.

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View all roles at General Dynamics

At a glance

TL;DR · HPC Technical Lead

The HPC Technical Lead will join the technical solutions team to support FDA Scientific Computing and Advanced Research Systems. This role serves as the senior technical authority for high-performance computing operations, architecture, and performance optimization. You will guide the evolution of scientific data ecosystems by managing HPC clusters, parallel storage, and high-speed networking. Daily responsibilities include optimizing scientific workloads for genomics, bioinformatics, and AI/ML pipelines through code porting, GPU acceleration, and performance tuning. You will utilize Linux environments, HPC schedulers like Slurm or TORQUE/Moab, and parallel file systems such as GPFS or Lustre. The position requires providing technical strategy for hybrid cloud architectures and troubleshooting complex distributed compute systems to ensure computing resources meet specific scientific mission needs.

What you'll do

  • Serve as the senior technical authority for HPC operations, architecture, and performance optimization.
  • Support scientific workloads including genomics, bioinformatics, modeling, simulation, and AI/ML pipelines.
  • Optimize user workloads through job sizing, code porting, parallelization, and GPU acceleration.
  • Lead technical strategy for scientific data storage, parallel file systems, and high-speed networking.
  • Provide guidance on future-state HPC and hybrid cloud architectures and modernization initiatives.
  • Support integration of laboratory instruments, scientific workstations, and specialized scientific software.
  • Troubleshoot complex issues across distributed compute systems, storage platforms, and scientific applications.
  • Prepare technical documentation, configuration guidance, and engineering recommendations.

What we're looking for

  • Must be a US Citizen or Green Card Holder.
  • Must be able to obtain a Public Trust clearance.
  • Must have a Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related technical field.
  • Must have 10-12+ years of experience in HPC engineering, scientific computing, bioinformatics platforms, or advanced research infrastructure.
  • Must have expertise with Linux environments, HPC schedulers, parallel computing, GPUs, and large-scale storage systems.
  • Must have experience optimizing scientific workloads and supporting research computing users.
  • Must be able to communicate technical concepts to scientists, engineers, and program stakeholders.
  • Master's Degree or PhD in Computer Science, Engineering, Scientific Computing, or related field (preferred).
  • Experience with Slurm, TORQUE/Moab, GPFS, Lustre, MPI, or containerized scientific environments (preferred).
  • Experience with genomics, next-generation sequencing, or bioinformatics pipelines (preferred).
  • Knowledge of cloud/HPC hybrid architectures (AWS preferred) (preferred).
  • Experience supporting scientific computing in federal environments (preferred).

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