The Deep Learning Software Team 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. This leader will guide engineering programs using the best industry processes well suited to our fast pace and rapidly expanding roadmap.
What You'll Be Doing
- 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
- Cultivate a culture of continuous improvement, finding opportunities for process enhancements
What We Need To See
- 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)
Ways To Stand Out From The Crowd
- 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
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