CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.
Systems Engineer HPC&GPU Infrastructure - TS/SCI
Bethesda, Maryland
Clearance: TS/SCI
$131,300.00 - $237,350.00 Client is hiring a Senior Systems Engineer HPC & GPU Infrastructure with a deep understanding of operating systems, hardware, Kubernetes, and NVIDIA GPU products. As a senior Systems Engineer 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. Primary Responsibilities: 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.
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.
HPC/GPU tooling: Install and configure HPC/GPU job scheduling and workload management platforms such as Slurm , PBS , Apache Airflow , Kubernetes
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.
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.
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.
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.
Basic Requirements: 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.
12+ 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).
Clearance Information: Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.
ship is required due to the nature of the government contracts we support.
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.
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