NVIDIA
Join NVIDIA - Pioneers in Computing Innovation
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today! Role Overview
We are seeking an outstanding Senior HPC Architect to focus on system performance and datacenter applications. You will be a key contributor to cutting-edge computing hardware and software, helping to achieve breakthroughs in artificial intelligence and GPU computing. Your expertise will guide at-scale system design and tuning for large-scale compute operations. Working with the latest accelerated computing and deep learning platforms, you will collaborate with scientific researchers, developers, and customers to craft improved workflows and develop innovative solutions. You will interact with HPC, OS, GPU compute, and systems specialists to architect, develop, and deploy large-scale performance platforms. Responsibilities
Design and implement engineering solutions for large-scale scheduling and resource management to optimize GPU computing performance. Maintain technical relationships with internal and external engineering teams. Assist systems, machine learning, and deep learning engineers in leveraging NVIDIA technology to build creative solutions. Serve as a reference point for scheduling, IO, and other datacenter and large-scale GPU-accelerated system solutions within NVIDIA. Qualifications
5+ years of experience in accelerated computing for datacenter or HPC solutions. Strong understanding of scheduling and I/O stacks in accelerated computing environments. Experience with HPC-based enterprise computing architectures. Proficiency in C, C++, Python, Bash scripting. Experience supporting high-performance computing or deep learning communities. Knowledge of scheduling and resource management systems and parallel filesystems. Excellent verbal and written communication skills. Strong teamwork, multitasking, and analytical skills. Bachelor’s degree in Engineering, Mathematics, Physics, or Computer Science; Master’s or PhD preferred. Preferred Skills
Exposure to virtualization, cloud platforms, container technology, and Linux performance tools. Why NVIDIA?
As one of the world’s most desirable employers, NVIDIA offers competitive salaries and comprehensive benefits. We value diversity and are committed to equal opportunity employment. Join us to work with some of the most talented minds in technology and contribute to groundbreaking innovations. Compensation & Application
The base salary range is $148,000 - $276,000, determined by location, experience, and market standards. Additional benefits include equity options. NVIDIA accepts applications ongoing and is committed to fostering an inclusive work environment.
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NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today! Role Overview
We are seeking an outstanding Senior HPC Architect to focus on system performance and datacenter applications. You will be a key contributor to cutting-edge computing hardware and software, helping to achieve breakthroughs in artificial intelligence and GPU computing. Your expertise will guide at-scale system design and tuning for large-scale compute operations. Working with the latest accelerated computing and deep learning platforms, you will collaborate with scientific researchers, developers, and customers to craft improved workflows and develop innovative solutions. You will interact with HPC, OS, GPU compute, and systems specialists to architect, develop, and deploy large-scale performance platforms. Responsibilities
Design and implement engineering solutions for large-scale scheduling and resource management to optimize GPU computing performance. Maintain technical relationships with internal and external engineering teams. Assist systems, machine learning, and deep learning engineers in leveraging NVIDIA technology to build creative solutions. Serve as a reference point for scheduling, IO, and other datacenter and large-scale GPU-accelerated system solutions within NVIDIA. Qualifications
5+ years of experience in accelerated computing for datacenter or HPC solutions. Strong understanding of scheduling and I/O stacks in accelerated computing environments. Experience with HPC-based enterprise computing architectures. Proficiency in C, C++, Python, Bash scripting. Experience supporting high-performance computing or deep learning communities. Knowledge of scheduling and resource management systems and parallel filesystems. Excellent verbal and written communication skills. Strong teamwork, multitasking, and analytical skills. Bachelor’s degree in Engineering, Mathematics, Physics, or Computer Science; Master’s or PhD preferred. Preferred Skills
Exposure to virtualization, cloud platforms, container technology, and Linux performance tools. Why NVIDIA?
As one of the world’s most desirable employers, NVIDIA offers competitive salaries and comprehensive benefits. We value diversity and are committed to equal opportunity employment. Join us to work with some of the most talented minds in technology and contribute to groundbreaking innovations. Compensation & Application
The base salary range is $148,000 - $276,000, determined by location, experience, and market standards. Additional benefits include equity options. NVIDIA accepts applications ongoing and is committed to fostering an inclusive work environment.
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