Senior HPC Architect, Automation, At-Scale Deployment

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Deliver engineering solutions to implement the latest GPU Computing products and software stacks.

• Maintain technical relationships with both internal and external engineering teams.

• Collaborate with systems, machine learning, and deep learning engineers to develop innovative solutions utilizing NVIDIA technology.

• Serve as an internal resource for system administration, large-scale system analysis, and various datacenter and GPU-accelerated system solutions within the NVIDIA technical community.

⛳️ Requirements

• Over 8 years of experience in accelerated computing for datacenter or HPC-based enterprise computing solutions.

• Strong comprehension of accelerated computing scheduling and I/O stacks.

• Proficiency in C/C++/Python/Bash programming and scripting.

• Experience collaborating with the engineering or academic research community in support of high performance computing or deep learning.

• Familiarity with parallel filesystems.

• Excellent teamwork and communication skills, both written and verbal.

• Ability to effectively multitask in a fast-paced environment.

• Results-oriented with strong analytical capabilities.

• Eagerness to engage in a variety of diverse and innovative projects.

• Bachelor’s degree (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science.

• Master’s or PhD is a plus.

🏝️ Benefits

• Highly competitive salaries.

• Comprehensive benefits package.