Lead strategy and execution for NVIDIA’s DGX Cloud platform infrastructure. The role develops roadmaps, execution plans, operating models, dependency maps, and technical tradeoff recommendations across infrastructure, platform software, and engineering teams. The TPM will align stakeholders, influence decisions without direct authority, connect long-term platform goals to delivery, and improve planning, governance, and execution processes.
NVIDIA is seeking a Senior Technical Program Manager to help develop the strategy and implementation model for DGX Cloud platform infrastructure. In this role, you will collaborate across infrastructure, platform software, and multi-functional engineering teams to transform technical direction into actionable plans, clear tradeoffs, and coordinated progress. This role is a strong fit for a senior TPM who can operate at both strategic and operational altitude, linking long-range platform goals with near-term engineering delivery.
What you’ll be doing:
- Work together with infrastructure and platform leaders to drive forward strategic technical programs across cloud infrastructure and platform software.
- Synthesize inputs from architecture, operations, engineering, and partner teams into clear program direction and actionable plans.
- Develop strategy briefs, roadmap proposals, dependency maps, and phased execution plans for multi-team initiatives.
- Drive alignment on technical tradeoffs, sequencing, priorities, and implementation approaches across organizations.
- Help translate platform evolution into scalable processes, operating models, and delivery mechanisms.
- Identify recurring structural gaps and recommend durable improvements across planning, governance, and execution.
- Connect long-term planning with delivery achievements, readiness criteria, and measurable outcomes.
- Facilitate leadership decisions by providing clear options, risks, and recommendations.
- Represent the coordinated program view across technical and business collaborators.
What we need to see:
- 12+ years of experience leading technical programs in infrastructure, platform software, systems, or comparable technical domains.
- Proven experience leading multi-functional strategic programs from concept through execution.
- Strong ability to work with deeply technical teams and turn complexity into clear decisions and plans.
- Excellent analytical, written, and verbal communication skills.
- Demonstrated success influencing direction across multiple teams without direct authority.
- Technical proficiency in cloud platforms, distributed systems, infrastructure software, or systems architecture.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Ways to stand out from the crowd:
- Experience spanning multiple infrastructure domains such as networking, storage, observability, security, or platform operations.
- Experience connecting platform strategy to execution in large-scale technical organizations.
- Familiarity with AI infrastructure, accelerated computing, or cloud platform ecosystems.
- Strong history of converting operational lessons into durable platform improvements.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD – 322,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA Santa Clara, California, USA Office
2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara
NVIDIA San Francisco, California, USA Office
San Francisco, United States
NVIDIA San Jose, California, USA Office
San Jose, United States
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Delivers virtual and occasional onsite cloud security training covering Falcon Cloud Security, CNAPP, CSPM, CWPP, containers, and incident response. Develops curricula, certification exams, and hands-on labs; maintains expertise in cloud threats and CrowdStrike products; and supports broader endpoint, identity, logging, and SIEM topics. Requires strong technical education, cloud security, communication, project management, AI technology, and occasional travel experience.
Top Skills:
AksAWSAzureBashCi/CdCiemCloudFormationCnappCrowdstrike Falcon Cloud SecurityCspmCwppDevsecopsDockerEksGCPGkeKubernetesLaceworkOracle CloudOrca SecurityPowershellPrisma CloudPythonSIEMSysdigTerraformWiz
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build Superhuman Mail’s AI platform, including MCP tools and standards, agentic workflows, personalization, LLM evaluation systems, and model-selection strategies. The role involves shipping production LLM features, partnering across teams on reusable AI capabilities, and potentially shaping data collection and modeling approaches. Engineers will work primarily with backend systems and applied AI while adapting quickly to evolving technologies and product priorities.
Top Skills:
AnthropicAWSGoKubernetesLlmsMcpOpenaiPostgresPythonRedisTurbopufferTypescript
Other • Utilities
Build and maintain scalable data pipelines and cloud data architectures using Snowflake and Azure. Develop Python and SQL transformations, manage multi-cloud workflows, optimize pipeline performance, and support data modeling, schema design, documentation, security, governance, and compliance. Collaborate with data scientists, analysts, engineers, product managers, and business stakeholders to deliver reliable, accessible data solutions.
Top Skills:
AdlsAzureCi/CdHadoopPythonSnowflakeSparkSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
