- Spring, Texas, United States
- Hybrid
- Full-time · Principal
- $166K–$314K per year
- 10+ years
Own strategy and roadmap for your Private Cloud AI area across GPU compute, AI networking, and the AI software stack, tied to clear revenue, adoption, and utilization goals.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 178,000 - 339,000 in Massachusetts // 157,000 - 361,000 in Texas The listed salary range reflects base salary. Variable incentives may also be offered.
Responsibilities
- Own strategy and roadmap for your Private Cloud AI area across GPU compute, AI networking, and the AI software stack, tied to clear revenue, adoption, and utilization goals.
- Define the platform across layers: GPU and accelerator configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling, and the curated AI tools customers deploy on day one.
- Make GPUs pay off: drive the features that raise utilization and time-to-value, such as GPU sharing, fair-share quotas, gang scheduling, and multi-tenant isolation.
- Lead the agentic AI roadmap: bring secure agent runtimes, model serving, and developer frameworks into the platform as supported, enterprise-ready experiences.
- Partner deeply with NVIDIA and the open-source ecosystem to co-define integrations, validated designs, and release timing.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.