Senior Technical Program Manager, AI Software
$168,000–$322,000 year
Remote · United States or Santa Clara, California, United States
Job Summary
Senior Technical Program Manager for AI Software at NVIDIA leads cross-functional engineering programs, coordinates teams to meet business objectives, and applies structured program-management practices (planning, forecasting, documenting, coordinating dependencies, reporting) while engaging with engineering partners and vendors. The role involves agile guidance, metric development and data-driven decision support, facilitating effective communication between developers and customers, and ensuring alignment across multi-functional teams to deliver advanced, complex AI/ML initiatives. Requires strong communication, stakeholder management, and deep understanding of software engineering and AI training environments.
Required Qualifications
- Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise
- 10+ years program management experience including proven ability managing global projects
- Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors
- Exceptional communication and presentation skills for diverse technical and non-technical audiences
- In-depth understanding of software engineering principles and quality requirements in enterprise systems
- Strong multitasking abilities with focus on thoroughness and rapid context switching
- Knowledge of agile methodologies and tools, project planning, and task tracking tools
- Experience in AI training environments and resource capacity planning
- Proactive in identifying and implementing efficient changes in software engineering and release management
- Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)
- Background in computer science, machine learning, deep learning, open source software, and GPU technology
- Prior experience in production application software development, release and support methodology and DevOps
- Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI models
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