Senior Technical Program Manager, AI Software

The Deep Learning Software Team at NVIDIA is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models. This leader will guide engineering programs using industry-best processes suited to NVIDIA's fast-paced 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 all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues.
• Guide engineering teams in the use of agile methodologies.
• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data-driven decisions.
• Report on overall program status, providing 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.
• Guide teams designing for advanced, complex, competing, and often conflicting customer requirements.
• Moderate technical discussions to successful conclusions.
• Act as liaison between developers and customers, between technical and non-technical audiences.

Requirements:

• Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices.
• 10+ years program management experience including proven ability managing global projects, adaptable to multiple time zones.
• 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 with strong problem-solving and conflict management skills.
• 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 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).

Preferred Qualifications:

• 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.
• Consistent track record of driving process improvements and measuring efficiency.
• A passion for sharing knowledge and experience driving complex projects end-to-end.

You will also be eligible for equity and benefits.