Senior Technical Program Manager, Cloud Infrastructure

Jobtailor; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

NVIDIA is seeking a Senior Technical Program Manager to lead large-scale cloud infrastructure programs focused on AI capacity enablement and DGX Cloud capabilities. You will partner with engineering, infrastructure, and software teams to drive strategic roadmaps and ensure successful execution in a fast-moving environment.

Responsibilities include working within PLC processes, guiding teams in Agile/Scrum, and presenting to executive leadership while building scalable, secure cloud solutions and

Qualifications

• 10+ years of technical program management leading large-scale engineering programs.
• Hands-on cloud infrastructure experience, including AI/ML, from a major CSP.
• Expert-level proficiency with Jira, Smartsheet, or similar tools.
• Ability to guide engineering teams in Agile/Scrum environments.
• Excellent communication and executive presentation skills.
• BS in Electrical Engineering or MS in Computer Science, or equivalent.

Responsibilities

• Partner with Engineering, Infrastructure, Software teams and leadership to drive AI capacity enablement.
• Develop and mature foundational DGX Cloud capabilities and processes.
• Gather technical requirements and develop comprehensive roadmaps.
• Drive breakthroughs and ensure PLC process adherence.
• Use Jira and other PM platforms to structure deliverables.
• Collaborate to connect partner capabilities to NVIDIA reference architectures.
• Drive adoption of third-party and in-house solutions for deployments and security.
• Establish metrics and KPIs to demonstrate program value and impact.
• Identify, resolve, and mitigate risks affecting scope and schedule.

Skills

Technical Program Management

Cloud Infrastructure

Jira

Smartsheet

Agile Scrum

NVIDIA GPU Knowledge

Kubernetes

API Integration

Terraform

Metrics KPIs

Process Automation

Software Engineering

Product Lifecycle Management

Education

BS in Electrical Engineering

MS in Computer Science

Tools

Jira

Smartsheet

Cloud Service Provider Tools

Productivity Tools

Program Management Platforms

Job description

• Partner with Engineering, Infrastructure, Software teams and leadership to drive critical AI capacity enablement and management programs
• Develop and mature foundational DGX Cloud capabilities and processes, including cluster/capacity bring-up and maintenance
• Gather technical requirements and develop comprehensive roadmaps
• Drive breakthroughs and ensure adherence to NVIDIA’s Product Lifecycle (PLC) process
• Use Jira and other program management platforms to structure engineering deliverables
• Collaborate internally and externally to understand partner capabilities, connect them to NVIDIA reference architectures, and drive execution
• Drive adoption of third-party and in-house solutions for deployments, support, security, compliance, and observability
• Establish metrics and KPIs to quantitatively demonstrate program value and impact
• Identify, resolve, and mitigate risks and issues affecting scope, schedule, and quality
• Develop and execute communication strategies, including regular presentations to NVIDIA executive leadership
• Promote continuous improvement and process improvements within cloud infrastructure operations

Requirements

• 10+ years of technical program management experience driving planning and execution of large-scale engineering programs, especially software engineering projects in a matrixed organization
• Extensive hands‑on cloud infrastructure experience, preferably from a major Cloud Service Provider (CSP), including AI/ML
• Expert‑level proficiency with Jira, Smartsheet, or similar program management tools
• Ability to guide engineering teams in effective tool use and execution within an Agile/Scrum framework
• Exceptional strategic and tactical thinking abilities
• Ability to build consensus and drive program success
• Comfort and effectiveness in ambiguous environments
• Excellent communication and technical presentation skills for executive audiences
• BS or MS in Electrical Engineering or Computer Science, or equivalent experience
• Knowledge of NVIDIA GPU products, including deployment and bring‑up
• Understanding of cloud technologies such as Kubernetes, API integration, and Terraform
• Familiarity with productivity tools and process automation
• Familiarity with cloud‑native product/services environments and AI/ML infrastructure and cloud/services

Core Competencies

Demonstrates extensive experience in technical program management, particularly in cloud infrastructure and AI/ML environments, with a strong focus on driving execution and strategic planning. Proficient in utilizing program management tools and frameworks to enhance collaboration and deliver measurable program outcomes.

Highest-signal resume keywords

• Technical Program Management
• Cloud Infrastructure Experience
• Expertise in Jira
• Agile/Scrum Framework
• NVIDIA GPU Knowledge

ATS Optimization Keywords

Hard Skills

• Technical Program Management
• Cloud Infrastructure
• AI/ML
• Kubernetes
• API Integration
• Terraform
• Metrics and KPIs
• Process Automation
• Software Engineering
• Product Lifecycle Management

Soft Skills

• Strategic Thinking
• Tactical Thinking
• Consensus Building
• Communication Skills
• Adaptability

Certifications & Qualifications

• BS in Electrical Engineering
• MS in Computer Science

Industry Keywords

• Cloud Technologies
• AI/ML Infrastructure
• Cloud-Native Products
• Deployment and Bring-Up
• Continuous Improvement

Tools & Technologies

• Jira
• Smartsheet
• Cloud Service Provider Tools
• Productivity Tools
• Program Management Platforms