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GPU Architect

2 months ago

Bethesda, Maryland, United States Leidos Full time
About Leidos

Leidos is a leading provider of innovative solutions for the defense, intelligence, and homeland security sectors. Our team of experts is dedicated to delivering high-quality services and products that meet the evolving needs of our customers.

Job Summary

We are seeking a highly skilled GPU Architect to join our team. The successful candidate will be responsible for designing, developing, and optimizing GPU architectures for various applications, with a strong emphasis on seamless integration with operating systems and hardware.

Key Responsibilities
  1. 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.

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/OpenCL 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.

Requirements
  • Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field.
  • 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 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

TS/SCI clearance with Polygraph required. OR TS/SCI and willingness to get a Poly. US Citizenship is required due to the nature of the government contracts we support.