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Tech Stack
Tools & technologiesCloudDistributed SystemsKubernetesNode.js
About the role
Key responsibilities & impact- Partner with external NCP partners and internal Software Engineering, Production Engineering/SRE, and Data Center Operations teams and leadership
- Drive programs related to on-prem infrastructure engineering, bare-metal bring-up, and automation
- Develop and mature capabilities and processes for hardware validation, remote fleet bootstrapping, operational workflows, and cluster/capacity bring-up
- Coordinate remote bootstrapping, active bring-up, and validation of large server fleets from physical rack-and-stack to customer-ready state
- Drive adoption of automation tooling for fleet maintenance, node security, and burn-in
- Establish workflows to triage and resolve day-one deployment issues
- Integrate and deploy DSX and other core NVIDIA software stacks within on-prem environments
- Lead day-to-day capacity operations focused on availability, maintenance, and multi-tiered infrastructure workflows
- Drive capacity onboarding and operations with NCP partners for DGX Cloud capacity
- Map and intercept technology roadmaps against physical data center readiness timelines
- Gather requirements, build roadmaps, and manage risks under the Product Lifecycle framework
- Use Jira and program management tools to structure execution across engineering and data center work
- Establish metrics tracking program velocity, infrastructure availability, and cluster health
- Develop communication strategies and facilitate collaborative weekly operations reviews
Requirements
What you’ll need- 8+ years of technical program management experience driving cloud infrastructure programs
- Strong focus on hardware/software integration across many engineering teams
- Extensive hands-on experience in cloud or on-prem enterprise infrastructure
- Experience with data center bring-up and bare-metal deployments
- Deep understanding of hardware infrastructure
- Expert-level proficiency with Jira, Smartsheet, or similar program management tools
- Ability to design ticket queues and guide engineering teams within an Agile/Scrum framework
- Exceptional strategic and tactical thinking abilities
- Ability to build consensus, establish operational workflows, and drive program success through uncertainty
- Outstanding communication, collaboration, and technical presentation skills
- Proven ability to increase meeting engagement, gather feedback, and align senior multi-functional collaborators
- BS or MS in Electrical Engineering or Computer Science, or equivalent experience
- In-depth knowledge of NVIDIA GPU products, cluster deployment, validation testing, and HPC infrastructure bring-up
- Direct experience managing dependencies between AI software stacks and physical infrastructure
- Experience with accelerated deployment schedules and asset-backed operational models
- Experience establishing automated server benchmarking, burn-in execution, and infrastructure health validation workflows
- Familiarity with cloud-native architectures, managed-Kubernetes platform layers, and distributed systems
- Significant experience with productivity tools, process automation, and establishing standard operating guidelines
Benefits
Comp & perks- Highly competitive salaries
- Comprehensive benefits package
- Equity
- Benefits for employees and their families