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VMD Corp · 3 days ago

Graphic Processing Unit (GPU) Engineer - TS/SCI

Bethesda, MD

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

Xcelerate Solutions is a rapidly growing company based in McLean, VA, seeking a highly skilled Graphics Processing Unit (GPU) Engineer with expertise in operating systems and hardware. The role involves designing, developing, and optimizing GPUs, focusing on their integration with Linux-based systems and enhancing performance across various applications.

Cyber SecurityInformation TechnologyService Industry

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

GPU Architecture and Design: Collaborate with a multidisciplinary team to define, develop, and optimize GPU architectures, ensuring they meet stringent performance, power efficiency, and feature requirements. Leverage industry insights to drive design decisions. Ensure that GPU designs and integrations are not only optimized for Linux but are also adaptable to other operating systems

Operating System Integration: Work closely with operating system developers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, performance, and reliability in a Linux environment. Provide regular maintenance and updates to ensure continued compatibility

Hardware Expertise: Contribute to the design and development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed

CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance

Performance Analysis: Analyze GPU 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

GPU Tooling: Create and maintain debugging tools, profiling utilities, and performance analysis software tailored for Linux systems to facilitate efficient GPU development and troubleshooting. Keep tools up-to-date and functional

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

Qualification

GPU architecture designLinux operating systemsCUDA programmingGPU performance optimizationComputer hardware architectureParallel computingGPU debugging toolsScripting languagesAutomation toolsMachine learning frameworksContainer technologiesMonitoring toolsDeep learning frameworksProblem-solving skillsCommunication skills

Required

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

10+ years of relevant systems engineering experience

Proven experience in GPU architecture design, and GPU performance optimization

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

Familiarity with GPU debugging tools and profiling software for Linux

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)

Preferred

Published research or contributions in the GPU industry, especially related to Linux

Experience with machine learning and neural network frameworks on GPUs in Linux

Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field

Proficiency in programming languages such as GPU-specific languages

Experience with container technologies (Docker, Kubernetes)

Experience with Prometheus/Grafana for monitoring

Knowledge of distributed resource scheduling systems [Slurm (preferred), LSF, etc.]

Familiarity with CUDA and managing GPU-accelerated computing systems

Basic knowledge of deep learning frameworks and algorithms

Company

VMD Corp

About VMD VMD, now a part of Xcelerate Solutions, is a leading defense and national security company, delivering integrated solutions in enterprise security, strategic consulting, and digital transformation.

Founded in 2002

Fairfax, Virginia, USA

501-1000 employees