Senior HPC Architect, Automation and At-Scale Deployment

Details

NVIDIA is seeking a hands-on architect/engineer to support the deployment and bring-up of large-scale GPU compute clusters. The role will help operationalize accelerated computing hardware and software, implement at-scale system administration and tuning mechanisms, and develop improved workflows and differentiated solutions for artificial intelligence, GPU computing, and high-performance computing environments. You will collaborate with HPC, operating system, GPU compute, and systems specialists, as well as scientific researchers, developers, and customers.

Responsibilities

• Provide engineering solutions to operationalize the latest GPU computing products and software stacks.
• Maintain technical relationships with internal and external engineering teams.
• Assist systems, machine learning, and deep learning engineers in building solutions based on NVIDIA technology.
• Serve as an internal reference for system administration, at-scale system analysis, datacenter solutions, and large-scale GPU-accelerated systems.
• Architect, develop, and bring up large-scale performance platforms.

Requirements

• 8+ years of experience using accelerated computing for datacenter or HPC-based enterprise computing solutions.
• Solid understanding of accelerated computing scheduling and I/O stacks.
• Experience programming or scripting with C, C++, Python, and Bash.
• Experience supporting high-performance computing or deep learning within engineering or academic research communities.
• Experience with parallel filesystems.
• Strong verbal and written teamwork and communication skills.
• Ability to multitask effectively in a dynamic environment.
• Strong analytical skills and an action-oriented approach.
• Desire to participate in multiple diverse and innovative projects.
• Bachelor's degree, or equivalent experience, in Engineering, Mathematics, Physics, or Computer Science. A master's degree or PhD is desirable.

Preferred Qualifications

• Deep learning framework skills.
• Exposure to deploying telemetry and visualization pipelines.
• Exposure to container technology and Linux performance tools.

Benefits

• Competitive salary.
• Equity eligibility.
• Comprehensive benefits package.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Applications will be accepted at least until August 3, 2026. This posting is for an existing vacancy.