GPU Graphics Process Unit Engineer
Company: Leidos
Location: Bethesda
Posted on: May 8, 2024
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Job Description:
At Leidos, we deliver innovative solutions through the efforts
of our diverse and talented people who are dedicated to our
customers' success. We empower our teams, contribute to our
communities, and operate sustainable practices. Everything we do is
built on a commitment to do the right thing for our customers, our
people, and our community. Our Mission, Vision, and Values guide
the way we do business. Employees enjoy career enrichment
opportunities available through mobility and development and
experience rewarding relationships with supportive supervisors and
talented colleagues and customers. Your most important work is
ahead.If this sounds like the kind of environment where you can
thrive, keep reading!Leidos is looking for a highly skilled
Graphics Processing Unit (GPU) Engineer with a deep understanding
of operating systems, hardware, and extensive knowledge of the GPU
industry, particularly in the context of Linux-based systems. As a
GPU Engineer, you will play a pivotal role in designing,
developing, and optimizing GPUs for various applications, with a
strong emphasis on seamless integration with operating systems and
hardware. Your expertise will contribute to advancing GPU
technology and its efficient utilization in diverse fields.This is
a 100% on-site position. All work must be performed at the customer
site in Bethesda at the Intelligence Community Campus.Primary
Responsibilities1. 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.2. 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.3. 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.4. 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.5. 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.6. 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.7. 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.8. 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.9. 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.10. 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
QualificationsBachelor'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 experienceProven 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).ClearanceTS/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.Preferred QualificationsPublished 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
monitoringKnowledge of distributed resource scheduling systems
[Slurm (preferred), LSF, etc.]Familiarity with CUDA and managing
GPU-accelerated computing systemsBasic knowledge of deep learning
frameworks and algorithms#NMECDTPOriginal Posting
Date:2024-04-26While subject to change based on business needs,
Leidos reasonably anticipates that this job requisition will remain
open for at least 3 days with an anticipated close date of no
earlier than 3 days after the original posting date as listed
above.Pay Range:Pay Range $122,200.00 - $220,900.00The Leidos pay
range for this job level is a general guideline only -and not a
guarantee of compensation or salary. Additional factors considered
in extending an offer include (but are not limited to)
responsibilities of the job, education, experience, knowledge,
skills, and abilities, as well as internal equity, alignment with
market data, applicable bargaining agreement (if any), or other
law.SummaryLocation: Bethesda, MDType: Full time
Keywords: Leidos, Bethesda , GPU Graphics Process Unit Engineer, Engineering , Bethesda, Maryland
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