GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
Quick apply
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
Quick apply
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
San Francisco, CA · On-site
$160K - $230K/yr
About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications.
San Francisco, CA · On-site
$160K - $230K/yr
About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications.
San Francisco, CA · On-site +1
$160K - $230K/yr
About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications.
San Francisco, CA · On-site +1
$160K - $230K/yr
About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications.
Bethesda, MD · On-site
$149K - $185K/yr
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
Quick apply
Bethesda, MD · On-site
$149K - $185K/yr
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
Bethesda, MD · On-site
$131K - $237K/yr
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
Bethesda, MD · On-site
$131K - $237K/yr
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
Bethesda, MD · On-site
$149K - $185K/yr
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
Bethesda, MD · On-site
$149K - $185K/yr
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet ...
As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet ...
Bethesda, MD · On-site
$140K - $225K/yr
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
Bethesda, MD · On-site
$140K - $225K/yr
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...
San Diego, CA · On-site
$195K - $292K/yr
Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: *****Hiring for Santa Clara, San Diego, Austin and Boxborough locations. Open to hire for Remote work as well. As a ...
San Diego, CA · On-site
$195K - $292K/yr
Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: *****Hiring for Santa Clara, San Diego, Austin and Boxborough locations. Open to hire for Remote work as well. As a ...
$150K - $277K/yr
Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. ...
$150K - $277K/yr
Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. ...
New York, NY · On-site
$165K - $300K/yr
GPU Performance Engineer Location NY New York United States Business Investment Management Function Engineering Experience Level Experienced Share this job Position Summary Two Sigma is a leading ...
New York, NY · On-site
$165K - $300K/yr
GPU Performance Engineer Location NY New York United States Business Investment Management Function Engineering Experience Level Experienced Share this job Position Summary Two Sigma is a leading ...
San Diego, CA · On-site
$148K - $183K/yr
In the GPU Developer Tools team, you will contribute to initiatives that provide developers the capabilities to learn, debug, and advance these technologies and more. The Qualcomm Adreno GPU Software ...
San Diego, CA · On-site
$148K - $183K/yr
In the GPU Developer Tools team, you will contribute to initiatives that provide developers the capabilities to learn, debug, and advance these technologies and more. The Qualcomm Adreno GPU Software ...
San Diego, CA · On-site
$116K - $175K/yr
In the GPU Developer Tools team, you will contribute to initiatives that provide developers the capabilities to learn, debug, and advance these technologies and more. The Qualcomm Adreno GPU Software ...
San Diego, CA · On-site
$116K - $175K/yr
In the GPU Developer Tools team, you will contribute to initiatives that provide developers the capabilities to learn, debug, and advance these technologies and more. The Qualcomm Adreno GPU Software ...
Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...
Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...
San Francisco, CA · On-site
$58 - $63/hr
About The Role As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI ...
San Francisco, CA · On-site
$58 - $63/hr
About The Role As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI ...
About The Role As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI ...
About The Role As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI ...
$125K - $135K/yr
Company paid Wellable subscription Join Vultr Vultr is seeking a highly skilled and experienced GPU Fabric Engineer to validate, troubleshoot, and optimize high-speed networking fabrics for GPU ...
$125K - $135K/yr
Company paid Wellable subscription Join Vultr Vultr is seeking a highly skilled and experienced GPU Fabric Engineer to validate, troubleshoot, and optimize high-speed networking fabrics for GPU ...
San Francisco, CA · On-site
$190K - $250K/yr
About the role We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom ...
San Francisco, CA · On-site
$190K - $250K/yr
About the role We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom ...
Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...
Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...
As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...
As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...
$39K - $48K
3% of jobs
$48K - $56.9K
3% of jobs
$56.9K - $65.9K
4% of jobs
$65.9K - $74.8K
7% of jobs
$74.8K - $83.8K
6% of jobs
$84.5K is the 25th percentile. Wages below this are outliers.
$83.8K - $92.7K
6% of jobs
The median wage is $100.8K / yr.
$92.7K - $101.7K
21% of jobs
$101.7K - $110.6K
4% of jobs
$116.4K is the 75th percentile. Wages above this are outliers.
$110.6K - $119.6K
29% of jobs
$119.6K - $128.5K
2% of jobs
$128.5K - $137.5K
13% of jobs
$39K
$101.8K
$137.5K
To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.
A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.
GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 15 days ago
Location: Bethesda, MD
Category: Systems Engineering
Travel Required:No
Remote Type: No
Clearance: TS/SCI
Sunayu, LLC is looking for a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize GPU clusters that power enterprise AI for the mission customers.
This is a 100% on-site position.
Responsibilities:
GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency, and feature requirements.
Operating System Integration: Work closely with AI/ML engineers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, reliability, and performance. Provide regular maintenance and updates.
Performance Optimization: Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.
Tooling and Automation: Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments. Leverage scripting and configuration tools such as Bash, Python, Ansible, Puppet, and Salt.
Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards.
You Bring
Bachelor's or higher degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with at least 12 years of related technical experience. Additional years of experience may be considered in lieu of a degree.
10+ years of relevant systems engineering experience
Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, L4s).
Knowledge of enterprise server components (storage/network controllers, HBA, SSDs).
Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle, and Rocky).
Excellent problem-solving skills and the ability to collaborate within a team.
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
Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.
US Citizenship is required due to the nature of the government contracts we support.
Preferred Qualifications
Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow).
Familiarity with GPU virtualization and cloud computing.
Experience with Prometheus/Grafana for monitoring.
Knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.).
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Who We Are
Sunayu, LLC serves as a premier technology partner to the Defense and Intelligence communities, delivering mission-critical engineering solutions across the nation. Our operations are anchored in a commitment to trust, accountability, and ethical transparency, ensuring the high-performance outcomes necessary to protect our country's most vital interests.
Culture
Our strength lies in our community:Our team prioritizes collaboration, professional growth, and encourages open communication. At Sunayu, we don't just secure the missionwe grow together.
Career Development
We support and encourage our team members to continue their professional growth by providing company-reimbursed training and continuing education of up to $5,000 per year. We also participate in many industry conferences and events where we share our expertise and experiences.
Pay Rate
Salary range considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills, as well as market and business considerations when extending an offer.
Benefits
Equal Opportunity Employer
Sunayu, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability status, marital status, genetic information, medical condition, or any other characteristic protected by law.
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1 - 10 Employees
Annapolis Junction, MD, US
2014