Senior HPC Architect – Automation and At-Scale Deployment

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

📋 Description

• Develop engineering solutions to implement the latest GPU Computing products and software frameworks.

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

• Support systems, machine learning, and deep learning engineers in creating innovative solutions utilizing NVIDIA technology.

• Serve as an internal expert for system administration, large-scale system analysis, and various datacenter and GPU-accelerated system solutions.

⛳️ Requirements

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

• Comprehensive understanding of accelerated computing scheduling and I/O architectures.

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

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

• Familiarity with parallel filesystems.

• Excellent teamwork and communication abilities, both oral and written.

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

• Results-oriented with strong analytical skills.

• Eagerness to participate 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 preferred.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Remote work options

• Equity