High-Performance Computing (HPC) Engineer

The Aerospace Corporation•El Segundo, CA

1d•$135,200 - $202,800•Onsite

About The Position

The Aerospace Corporation is seeking a talented High-Performance Computing (HPC) Engineer (Site Reliability Engineer Staff III/IV) to join our Computational Services team. In this role, you will develop, implement, and optimize HPC clusters that support both on-premises and cloud environments. You will work alongside rocket scientists and engineers, tackling complex space enterprise challenges while having direct impact on critical national security missions. We value a collaborative, proactive mindset and a shared commitment to engineering excellence. The selected candidate will be required to work full-time, on-site at our facility in El Segundo, CA or Chantilly, VA.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Minimum of 7 years’ experience in Linux system administration within an enterprise HPC environment.
Experience supporting technical software (compilers, mod&sim tools, languages, COTS, GOTs) including the development of environment modules.
In-depth knowledge of Linux, networking, and HPC systems.
Experience with Infrastructure-as-Code and GitOps
Proven experience in managing the Slurm scheduler and setting up HPC systems for both interactive and batch workloads.
Experience provisioning and supporting AI & NVIDIA GPU technologies (e.g. CUDA)
Proficiency in scripting and competence with automation tools such as Clush.
Experience hardening Linux systems to meet security requirements
Experience with hardware and infrastructure automation in environments using server vendors such as HPE or Cisco.
Strong communication skills, with an ability to work both independently and as part of a geographically distributed team.
CompTIA Security+ CE certification or equivalent that meets DoD 8570.01-m requirements for IAT Level II personnel
Ability to obtain and maintain a TS/SCI clearance (U.S. citizenship required).
Demonstrated ability to lead cross-functional teams and mentor junior engineers.
9+ years of experience in an enterprise 100+ server HPC cluster operations and administration
Experience with performance analysis and optimization with custom developed technical software in collaboration with scientists and engineers.
Expertise in optimizing and customizing Slurm partitions, qualities of service and priority to balance utilization and reduce job wait times.
Experience performing in-place upgrades of Slurm.
Implementing visualization of live system telemetry
Experience developing and architecting cluster configuration management
Advanced Infrastructure-as-Code GitOps (e.g. multi-branch pipelines)
Skill in provisioning and supporting AI & NVIDIA GPU technologies (e.g. CUDA, Nsight), with expertise in GPU integration, resource allocation, and scheduling using Slurm.

Nice To Haves

An active TS/SCI clearance with CI Polygraph.
Experience integrating Slurm with SELinux
Experience implementing DISA STIG compliance
Experience integrating Kubernetes and Slurm, e.g. Slinky
Experience supporting and managing diverse HPC workloads, including computational fluid dynamics, Monte Carlo, structural analysis
Experience integrating user web portals to launch & manage workloads (e.g. Open OnDemand and developing plugins for session persistence and VSCode)
Experience implementing utilization dashboards (e.g. XDMod) with Slurm
Experience managing parallel file systems such as Lustre.
Experience developing solutions that optimize data storage
Experience implementing or supporting Slurm REST API
Experience with automated provisioning, e.g. Warewolf, Kickstart, PXE
Knowledge of NVLINK and DCGM for optimizing GPU workflows.
Familiarity with Prometheus and Grafana for monitoring and performance visualization.
Background in containerization within an HPC context used for data processing and technical analysis
Experience packaging custom software (e.g. RPMs)
Proficiency with automation tools such as Ansible for HPC
Hands-on background with cloud HPC services
Experience with AWS Parallel Computing Service (AWS ParallelCluster).

Responsibilities

Collaborate with scientists and engineers on diverse projects supporting mission-critical technical analysis for national space assets
Lead cross-functional teams and mentor junior engineers.
Design and implement HPC solutions that optimize resource utilization across diverse workloads in both classified and unclassified settings.
Manage on premise 10,000-core classified cluster and a 5,000-core unclassified cluster to ensure peak performance.
Deliver high-quality HPC infrastructure design, and system configuration.
Develop and deploy automation solutions using tools such as Clush.
Manage infrastructure using Infrastructure-as-Code and GitOps practices
Implement, support, and optimize GPU computing.
Monitor, analyze, and tune HPC system performance, utilization, and resource allocation to maintain operational efficiency.
Develop cost-efficient HPC service offerings that align with mission and business objectives.
Harden Linux systems to meet stringent security requirements

Benefits

Comprehensive health care and wellness plans
Paid holidays, sick time, and vacation
Standard and alternate work schedules, including telework options
401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
Flexible spending accounts
Variable pay program for exceptional contributions
Relocation assistance
Professional growth and development programs to help advance your career
Education assistance programs
An inclusive work environment built on teamwork, flexibility, and respect