Senior Technical Program Manager, Cloud Infrastructure at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, Cloud ComputingIndustries

Requirements

  • 10+ years of technical program management experience, specifically driving the planning and execution of large-scale engineering programs, with a strong focus on software engineering projects within a matrixed organization
  • Extensive hands-on experience in cloud infrastructure, preferably gained from working at a major Cloud Service Provider (CSP) including AI/ML
  • Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to confidently guide engineering teams on their effective use and execution within an Agile/Scrum framework
  • Exceptional strategic and tactical thinking abilities, coupled with a strong capacity to build consensus and drive program success
  • Comfort and effectiveness in thriving within ambiguous environments
  • Excellent communication and technical presentation skills, particularly for executive audiences
  • BS or MS in Electrical Engineering or Computer Science, or equivalent experience

Responsibilities

  • Gathering technical requirements, developing comprehensive roadmaps, achieving breakthroughs, and ensuring adherence to our Product Lifecycle (PLC) process
  • Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables
  • Collaborating cross-functionally internally and externally to understand partner capabilities, build a bridge to NVIDIA reference architectures and drive execution
  • Identifying and driving opportunities to onboard the adoption of third-party and in-house solutions for deployments, support, security, compliance and observability across DGX Cloud
  • Establishing metrics and key performance indicators (KPIs) and quantitatively demonstrating the value and impact delivered by your programs
  • Proactively identifying, resolving, and mitigating risks and issues that could affect scope, schedule, and quality across all program aspects
  • Developing and executing a robust communication strategy to ensure organizational visibility on overall program progress and engineering delivery, including presenting regularly to NVIDIA's executive leadership team
  • Encouraging a culture of continuous improvement, consistently finding opportunities for process improvements within our cloud infrastructure operations

Skills

Key technologies and capabilities for this role

Cloud InfrastructureTechnical Program ManagementJiraAI Capacity EnablementCluster Bring-upRoadmap DevelopmentProduct Lifecycle ManagementCross-functional CollaborationReference ArchitecturesSecurityComplianceObservability

Questions & Answers

Common questions about this position

What experience level is required for this Senior Technical Program Manager role?

The role requires 10+ years of technical program management experience, specifically driving the planning and execution of large-scale engineering programs with a strong focus on software engineering projects within a matrixed organization.

What key responsibilities will the Technical Program Manager handle?

Responsibilities include gathering technical requirements, developing roadmaps, leveraging Jira for program management, collaborating cross-functionally, establishing KPIs, mitigating risks, and presenting to executive leadership.

Is prior cloud infrastructure experience necessary?

Yes, extensive hands-on experience in cloud infrastructure is required, preferably gained from working at a cloud provider, with a focus on bring-up and relationship management.

What is the work environment like for this position?

This is a dynamic, fast-paced environment where TPMs apply fungible skillsets to high-impact programs and encourage a culture of continuous improvement within cloud infrastructure operations.

What salary or compensation does this role offer?

This information is not specified in the job description.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI