Own a major slice of the Private Cloud AI platform end to end, from GPU compute and AI fabric to the AI software stack developers use every day.
Compensation
The expected salary/wage range for this position is provided below... 165,500 - 361,000
Responsibilities
Own strategy and roadmap for your Private Cloud AI area across GPU compute, AI networking, and the AI software stack.
Define the platform across layers: GPU and accelerator configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling, and the curated AI tools.
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.
Partner deeply with NVIDIA and the open-source ecosystem to co-define integrations, validated designs, and release timing.
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
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.
Liderar y supervisar al equipo Site Reliability Engineering (SRE) como parte de la Organización de Modernización y Resiliencia para México; asegurar que las estrategias, planes e iniciativas del negocio se lleven a cabo de acuerdo con las regulaciones internas, políticas y procedimientos vigentes. Liderar la evolución de nuestros equipos operativos y de infraestructura hacia una organización SRE de clase mundial.
Liderar y conduce una cultura centrada en el cliente para todo su equipo a fin de profundizar las relaciones con los clientes y aprovechar las amplias relaciones del Banco, así como sus sistemas y conocimientos.
Definir e impulsar la visión, estrategia y hoja de ruta de SRE alineadas con los objetivos del negocio y de tecnología.
Liderar la transformación de los equipos tradicionales de soporte de aplicaciones, infraestructura y operaciones en una organización SRE cohesionada y orientada a métricas.
Promover una cultura de confiabilidad, observabilidad, automatización y mejora continua.
Construir, guiar y escalar un equipo SRE de alto rendimiento con una combinación de personal de TI existente y nuevo talento.
Principal Product ManagerHPE · Spring, US
Subdirector Site Reliability EngineerScotiabank · Aguascalientes, Mexico+19 more