DevOps Software Engineer - HPC Specialist

Calabasas, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Research, High-Performance ComputingIndustries

Requirements

Candidates must possess a BS degree with 6 years of experience or an MS degree with 4 years of experience in computer science, computer engineering, or a related field. Required skills include proven ability to communicate complex technical concepts clearly, hands-on experience administering Slurm in HPC environments, knowledge of HPC architecture and scientific computing challenges, strong Linux system administration skills, proficiency in Python and scripting languages (Bash, PowerShell), experience with software packaging and environment management (Conda) in HPC contexts, strong troubleshooting and analytical abilities, and familiarity with air-gapped or high-security computing environments. Experience in research or scientific computing environments is highly desired. US citizenship and the ability to obtain and maintain a US Government security clearance are mandatory.

Responsibilities

The DevOps Software Engineer – HPC Specialist will administer and troubleshoot Linux-based HPC clusters running Slurm, managing configurations and job scheduling policies. They will collaborate with researchers to support scalable and automated scientific workflows, monitor and optimize HPC performance, capacity, and reliability, and develop/automate cluster management tasks like node provisioning and software deployment. This role also involves administering and troubleshooting CI/CD infrastructure across open and air-gapped networks, contributing to Infrastructure-as-Code automation, and collaborating with various teams to support integrated platforms. Writing and maintaining high-quality technical documentation and participating in Agile team activities are also key responsibilities.

Skills

Linux

HPC

Slurm

GitLab CI/CD

Python

JFrog Artifactory

Bash

PowerShell

Conda

Infrastructure-as-Code

System Administration

Troubleshooting

Problem-Solving

Technical Documentation

HRL Laboratories

Develops cognitive systems for human-machine collaboration

About HRL Laboratories

HRL Laboratories focuses on research and development of advanced cognitive systems and human-machine collaboration, enhancing human cognitive abilities through artificial intelligence (AI) and machine learning (ML). The company develops solutions like the ICArUS project, which improves machine interpretation of information, and the MEMES project, aimed at enhancing human memory. HRL operates on a project-based model, serving clients in defense and high-tech sectors by delivering customized solutions and licensing technologies. The goal is to lead in creating cognitive systems that improve the interaction between humans and machines.

Malibu, CaliforniaHeadquarters

1997Year Founded

$1.9MTotal Funding

GRANTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

Gym Membership

Paid Vacation

Risks

Competition in quantum technologies could challenge HRL's market position.

Rapid AI advancements by competitors may outpace HRL's cognitive systems projects.

Reliance on government contracts poses risks if funding priorities change.

Differentiation

HRL Laboratories excels in cognitive systems enhancing human-machine collaboration.

The company is a leader in AI-driven defense projects and autonomous systems.

HRL's MEMES project focuses on advanced memory enhancement technologies.

Upsides

Growing interest in neuromorphic computing aligns with HRL's cognitive systems focus.

Increased funding for AI-driven defense projects benefits HRL's autonomous systems work.

Energy-efficient data center trends support HRL's cooling system innovations.

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