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kubernetes mlops slurm infiniband nvidia dgx📋 Description
- Lead Trace3 AI Platforms within I&O and CTO office.
- Build and operate a full-stack AI factory design.
- Lead presales team; architect and shape AI infra deals.
- Own GPU compute, networking, storage, and software stack.
- Manage operations of Trace3 AI Labs.
- Collaborate with executives and OEMs on AI strategy.
🎯 Requirements
- Bachelor's in CS/EE or related field; advanced degree preferred.
- 12+ years enterprise infra; 5+ years AI/ML/HPC at production scale.
- Delivery on multi-rack GPU deployments (NVIDIA DGX/HGX, Cisco, Dell, etc.).
- GPU compute, InfiniBand/RoCE, and parallel file systems (VAST/WEKA/DDN/Pure/NetApp AI).
- Orchestration: Kubernetes, Slurm, Run:AI, NVIDIA Base Command, Mission Control, MLOps.
- AI security: model protection, data governance, inference security, regulatory alignment.
- 5+ years leading presales/architecture teams.
- Executive presence with CXO-level engagement; multi-million-dollar opportunities.
- Willing to travel up to 50% across the United States; valid driver's license.
🎁 Benefits
- Medical, dental, and vision for you and dependents.
- 401(k) with employer match and benefits.
- Competitive compensation.
- Training and development programs.
- Offices stocked with snacks and beverages.
- Collaborative culture and work-life balance.
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