Senior Technical Program Manager, Deep Learning Software

The Deep Learning Software Team at NVIDIA is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA's most advanced AI researchers and engineers to create the future of computing.

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.