- Spring, Texas, United States
- Hybrid
- Full-time · Manager
- $166K–$314K per year
- 10+ years
Own strategy and roadmap for Private Cloud AI area across GPU compute, AI networking, and AI software stack, driving product launch and adoption.
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
Responsibilities
- Own strategy and roadmap for Private Cloud AI area
- Define platform layers including GPU, networking, storage, Kubernetes orchestration
- Drive features to increase GPU utilization
- Lead agentic AI roadmap
- Partner with NVIDIA and open-source ecosystem
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
- Nice to have: AI frameworks and MLOps: LangChain, LangFlow, MLflow, Ray, SGLang
- Nice to have: GPU scheduling: NVIDIA KAI Scheduler, Run:ai, Kueue, Volcano, Slurm
- Nice to have: Agent runtimes: NVIDIA OpenShell, NemoClaw, OpenClaw, Hermes
- Nice to have: NVIDIA AI Enterprise: NIM microservices, NeMo, Triton/Dynamo