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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in managing large-scale cloud infrastructure programs, with a strong focus on software engineering and technical program management. Proficient in utilizing program management tools and frameworks to optimize cloud operations and drive strategic initiatives.
Highest-signal resume keywords
10+ Years Technical Program Management ExperienceCloud Infrastructure ManagementExpert-Level Proficiency With JiraIn-Depth Knowledge Of NVIDIA GPU ProductsWorking Knowledge Of Kubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud InfrastructureCapacity ManagementProgram ManagementTechnical Requirements GatheringKubernetesAPI IntegrationTerraformAI InfrastructureML InfrastructureProcess Automation
Soft Skills
Strategic ThinkingTactical ThinkingConsensus BuildingCommunication SkillsPresentation Skills
Tools & Technologies
JiraSmartsheetCloud Service ProvidersNVIDIA Cloud ProvidersThird-Party Cloud Solutions
Certifications & Qualifications
BS or MS in Electrical EngineeringBS or MS in Computer Science
Industry Keywords
Cloud ComputingGPU ComputeStorage SolutionsNetwork SolutionsProduct Lifecycle Process
Tech Stack
Tools & technologiesCloudKubernetesTerraform
About the role
Key responsibilities & impact- Partner with Engineering, Infrastructure, Software teams, and leadership to drive AI capacity enablement and management programs
- Develop and mature foundational capabilities and processes for DGX Cloud
- Manage cluster and capacity bring-up, including CPU, storage, networking, and GPU compute requirements
- Coordinate with storage and network engineering teams to define requirements for Cloud Service Providers and NVIDIA Cloud Providers
- Drive alignment and a plan of record for capacity blocks based on workload needs
- Engage CSP and NCP partners on managed storage and network solutions and align them with NVIDIA's cloud roadmap
- Gather technical requirements, develop roadmaps, establish turning points, and ensure adherence to the Product Lifecycle process
- Manage ongoing capacity operations and engineering engagement with cloud provider partners
- Focus on availability, maintenance, and critical performance indicators
- Understand workload requirements and hardware/infrastructure needs to optimize cloud-vendor readiness
- Use Jira and other program management platforms to structure engineering deliverables
- Drive adoption of third-party and in-house cloud infrastructure solutions for deployment, support, security, compliance, and observability
- Establish KPIs and quantitatively demonstrate program value and impact
- Identify, resolve, and mitigate risks and issues affecting scope, schedule, and quality
- Identify process-improvement opportunities within cloud infrastructure operations
Requirements
What you’ll need- 10+ years of technical program management experience
- Experience planning and executing large-scale cloud infrastructure programs with outside organizations
- Strong focus on software engineering projects within a matrixed organization
- Extensive hands-on experience in cloud infrastructure, preferably from a major Cloud Service Provider
- Domain knowledge of bring-up and end-to-end operations of compute, storage, and GPU, including common hardware and software failure points
- Expert-level proficiency with Jira, Smartsheet, or similar program management tools
- Outstanding strategic and tactical thinking abilities
- Ability to build consensus and drive program success
- Comfort and efficiency in ambiguous environments
- Excellent communication and technical presentation skills, particularly for executive audiences
- BS or MS in Electrical Engineering or Computer Science, or equivalent experience
- In-depth knowledge of NVIDIA GPU products, including deployment and bring-up
- Working knowledge of Kubernetes, API integration, Terraform, and other cloud technologies
- Familiarity with AI, ML infrastructure, and cloud/services
- Significant experience with productivity tools and process automation is a major plus
Benefits
Comp & perks- Attractive compensation
- Equity
- Extensive benefits package