Senior Technical Program Manager, ML Software
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Job Description
Senior Technical Program Manager leading software initiatives at NVIDIA for Gen AI models. Collaborating with partners and teams to align on business objectives and streamline processes.
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
- 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 and 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 and moderate technical discussions to successful conclusions
- Act as liaison between developers and customers, between technical and non-technical audiences and cultivate a culture of continuous improvement, finding opportunities for process enhancements
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 and experience in AI training environments and resource capacity planning
- Strong multitasking abilities with a focus on thoroughness and rapid context switching with knowledge of agile methodologies and tools, project planning, and task tracking tools
- Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)
Benefits:
- equity
- benefits
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