Senior Technical Program Manager, AI Software and Model Development

Details

The TPM Team is seeking a Technical Program Manager to lead programs and initiatives that develop infrastructure enabling NVIDIA’s advanced AI researchers and engineers to create the future of computing. This role guides engineering programs using industry best practices tailored to a fast pace and rapidly expanding roadmap.

Responsibilities

• Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives.
• Guide engineering programs in planning, forecasting, documenting, scheduling, running effective meetings, prioritization, dependency management, reporting, and handling critical/blocking issues.
• Guide engineering teams in the use of agile methodologies.
• Develop and implement metrics for measuring program effectiveness; collect and analyze data to support planning and data-driven decisions.
• Report on overall program status and provide insights and recommendations to senior management.
• Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes.
• Work with multi-functional matrixed teams and moderate technical discussions to successful conclusions.
• Act as a liaison between developers and customers and between technical and non-technical audiences.
• Guide teams designing for advanced, complex, and often competing customer requirements.
• Cultivate a culture of continuous improvement and identify opportunities for process enhancements.

Requirements

• Bachelor’s degree (or equivalent experience) in a related field.
• 10+ years of program management experience, including proven ability to manage global projects across multiple time zones.
• Demonstrated program management expertise and mastery of technical and management practices.
• Demonstrated skill 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 a focus on thoroughness and rapid context switching.
• Knowledge of agile methodologies and tools, project planning, and task tracking tools.
• Experience with AI training environments and resource capacity planning.
• Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management.

Ways To Stand Out

• Background in computer science, machine learning, deep learning, open source software, infrastructure technologies, and GPU technology.
• Prior experience in infrastructure software, production application software development, release and support methodology, and DevOps.
• Prior experience managing customer workflows using large-scale distributed computing and working with AI researchers or directly training AI models.
• Consistent track record of driving process improvements and measuring efficiency.
• A passion for sharing knowledge and driving complex projects end-to-end.

Benefits and Additional Information

• Base salary ranges by level: Level 4: 160,000 USD - 253,000 USD; Level 5: 192,000 USD - 304,750 USD.
• You will also be eligible for equity and benefits.
• Applications will be accepted at least until August 25, 2025.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.

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