Systems Engineer - HPC & GPU Infrastructure

Bethesda, MD, US • Posted 19 hours ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Pivotal
  • IC
  • Internal Communications
  • Integrated Circuit
  • Performance Tuning
  • HPC
  • Job Scheduling
  • Management
  • Apache Airflow
  • Power Management
  • Testing
  • Stress Testing
  • Benchmarking
  • Debugging
  • Test Suites
  • Technical Writing
  • Documentation
  • Research
  • Optimization
  • Computer Science
  • Electrical Engineering
  • Systems Engineering
  • Operating Systems
  • Parallel Computing
  • Algorithms
  • Real-time
  • Conflict Resolution
  • Problem Solving
  • Collaboration
  • Communication
  • Scripting
  • Python
  • Bash
  • Ansible
  • Puppet
  • Terraform
  • DoD
  • Security+
  • GSEC
  • SSCP
  • Customer Engagement
  • CISA
  • CISSP
  • GCIH
  • Cisco Certifications
  • Security Clearance
  • GPU
  • Virtualization
  • Cloud Computing
  • Linux
  • Docker
  • Kubernetes
  • Scheduling
  • Computer Hardware
  • Cabling
  • Computer Networking
  • DHCP
  • Dragon NaturallySpeaking
  • DNS
  • TCP/IP
  • VLAN
  • HSRP
  • SNMP
  • Network Security
  • Firewall
  • IPS
  • IDS
  • Routing

Summary

Company Description

Job Description

Our partner, Vexterra Group, is looking for a mid-career Systems Engineer (Mid-Career) - HPC & GPU Infrastructure with a deep understanding of operating systems, hardware, Kubernetes, and NVIDIA GPU products. As a Systems Engineer (Mid-Career) - HPC & GPU Infrastructure, you will play a pivotal role in designing, developing, and optimizing GPU clusters for the IC community customers. This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.

Primary Responsibilities

1. HPC and GPU environment engineering: Contribute to the installation and maintenance of GPU

and HPC hardware on-prem and in the cloud, providing insights into hardware performance to

ensure efficient interaction with software components.

2. Performance Optimization: Analyze HPC/GPU cluster performance, identify bottlenecks, and

develop strategies to enhance performance across various applications in Linux, addressing both

hardware and software considerations. Regularly monitor and improve performance.

3. HPC/GPU tooling: Install and configure HPC/GPU job scheduling and workload management

platforms such as Slurm, PBS , Apache Airflow, Kubernetes

4. Power Efficiency: Work on power management techniques to optimize GPU power

consumption, ensuring efficient operation on both mobile and desktop Linux platforms.

Continuously assess and enhance power efficiency strategies.

5. Testing and Validation: Design and execute tests to validate GPU performance and functionality

on Linux, including stress testing, benchmarking, and debugging to ensure robust operation.

Maintain and expand the testing suite.

6. Documentation: Maintain comprehensive technical documentation, including architectural

specifications, code documentation, and Linux-specific best practices for GPU development.

Keep documentation up to date with changes and improvements.

7. Industry Insight: Stay updated on the latest trends, innovations, and competitive landscapes

within the GPU industry, contributing to research efforts and proposing Linux-specific

approaches to GPU design and optimization. Share regular updates and insights with the team.

Qualifications

Basic Qualifications
  • Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field.
  • Additional years of experience may be considered in lieu of a degree.
  • 4+ years of relevant systems engineering experience
  • Expertise in operating system integration for Linux.
  • Strong understanding of computer hardware architecture, particularly as it relates to Linux systems.
  • Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments.
  • Excellent problem-solving skills and the ability to collaborate within a team.
  • Strong communication skills for conveying technical information in a Linux context.
  • Proficiency with scripting languages such as Python or BASH.
  • Proficiency with automation tools such Ansible, Puppet, Salt, Terraform, etc.
  • Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).
  • TS/SCI clearance with Polygraph required or a TS/SCI and willingness to obtain a Polygraph prior to starting.

Preferred Qualifications
  • Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field.
  • Experience with container technologies (Docker, Kubernetes)
  • Experience with PrometheGrafana for monitoring
  • Knowledge of distributed resource scheduling systems
  • Understanding data center networking hardware and cabling concepts.
  • Understanding of networking technologies such as DHCP, DNS, TCP/IP, VLANs, HSRP, and SNMP.
  • Knowledge of data center networking security principles Firewall ACLs, IPS/IDS, and Policy Based Routing.

Additional Information

All your information will be kept confidential according to EEO guidelines.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10271861
  • Position Id: 77d7add3f2f8963aeda4cf38c2509487
  • Posted 19 hours ago
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