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Gpu Performance Engineer Jobs in Washington (NOW HIRING)

Base-2 Solutions, LLC

GPU Systems Engineer 4

Bethesda, MD · On-site

$187.18K - $212.14K/yr

Standard Title: Senior GPU Systems Engineer * Required Security Clearance: Top Secret/SCI ... Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across ...

Base2 Solutions

GPU Systems Engineer 3

Bethesda, MD

$151.90K - $172.16K/yr

Standard Title: GPU Systems Engineer * Required Security Clearance: Top Secret/SCI * Location ... Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across ...

Base-2 Solutions, LLC

GPU Systems Engineer 3

Bethesda, MD · On-site

$151.90K - $172.16K/yr

Standard Title: GPU Systems Engineer * Required Security Clearance: Top Secret/SCI * Location ... Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across ...

Base2 Solutions

GPU Systems Engineer 4

Bethesda, MD

$187.18K - $212.14K/yr

Standard Title: Senior GPU Systems Engineer * Required Security Clearance: Top Secret/SCI ... Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across ...

Leidos

Graphics Processing Unit (GPU) Engineer

Bethesda, MD · On-site

$149.80K - $185.20K/yr

Responsibilities: * GPU Cluster Engineering: Design, configure, and maintain GPU ... Performance Optimization: Analyze GPU performance, identify bottlenecks, and develop strategies to ...

Leidos

Graphics Processing Unit (GPU) Engineer

Bethesda, MD

$149.80K - $185.20K/yr

GPU Cluster Engineering: Design, configure, and maintain GPU Clusters . Collaborate with a ... Performance Optimization: Analyze GPU performance, identify bottlenecks, and develop strategies to ...

Cymertek

HPC Cloud Performance Engineer

Reston, VA · On-site

$58 - $77.75/hr

HPC Cloud Performance Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note ... Knowledge of GPU acceleration * Familiarity with containerization (e.g., Docker, Singularity)

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

Overview iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean ... management, GPU computing, and high-speed networking. Do you have what it takes? * Active Top ...

Cymertek

HPC Cloud Performance Engineer

Tysons, VA · On-site

$56 - $74.75/hr

HPC Cloud Performance Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note ... Knowledge of GPU acceleration * Familiarity with containerization (e.g., Docker, Singularity)

Cymertek

HPC Cloud Performance Engineer

Vienna, VA · On-site

$56 - $74.75/hr

HPC Cloud Performance Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note ... Knowledge of GPU acceleration * Familiarity with containerization (e.g., Docker, Singularity)

Cymertek

HPC Cloud Performance Engineer

Annapolis, MD · On-site

$55.25 - $73.75/hr

HPC Cloud Performance Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly ... Knowledge of GPU acceleration * Familiarity with containerization (e.g., Docker, Singularity)

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Gpu Performance Engineer information

What are the key skills and qualifications needed to thrive as a GPU Performance Engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What are some common challenges faced by GPU Performance Engineers when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU Performance Engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Washington? For Gpu Performance Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Washington look for? The top searched job categories for Gpu Performance Engineer jobs in Washington are:
What cities in Washington are hiring for Gpu Performance Engineer jobs? Cities in Washington with the most Gpu Performance Engineer job openings:
Gpu Performance Engineer jobs near you
Graphic Processing Unit (GPU) Engineer - TS/SCI

Graphic Processing Unit (GPU) Engineer - TS/SCI

VMD Corp

Bethesda, MD

$149.40K - $184.70K/yr

Full-time

Posted 21 days ago

Job description

Description

Graphics Processing Unit (GPU) Engineer – TS/SCI   
Xcelerate Solutions 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. 
  
Location:  
Bethesda, MD  
  
Security Clearance:   
TS/SCI and willingness to get a Poly.  
  
Primary 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. 
Minimum Requirement: 
  • 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 Qualifications:   
  • 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  

About Xcelerate Solutions:
Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers! 

Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability.
Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. 

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