NVIDIA Metropolis is seeking a Senior Technical Program Manager based in Santa Clara, California, United States to lead the end-to-end development lifecycle for AI-enabled applications, from concept through model training, optimized inference, and deployment. The role partners with engineering and product management to deliver and drive the strategic roadmap, leads sprint planning, stand-ups, sprint reviews, and retrospectives, and uses Jira dashboards and Confluence to provide comprehensive program updates to core and leadership teams. You will work closely with engineering on KPIs to improve execution and deliverables and be an integral member of Vision AI development and productization workflows. Qualifications include a Bachelor's degree in Electrical Engineering, Computer Science, or equivalent experience, 8+ years of end-to-end program management in a related role, excellent verbal and written communication, proficiency in Agile methodologies, and strong Jira expertise with the ability to guide an engineering team in a Scrum environment. The ideal candidate is well-organized, detail-oriented, with strong prioritization and stakeholder alignment skills, and able to operate in environments with shifting priorities. Preferred experience includes Vision AI or AI application development (data acquisition to model training, optimization, and edge deployment), embedded systems familiarity, and understanding of the Software Product Lifecycle for production-grade AI applications. NVIDIA highlights equal opportunity employment and offers competitive salaries with benefits; base

NVIDIA Metropolis is seeking a Senior Technical Program Manager based in Santa Clara, California, United States to lead the end-to-end development lifecycle for AI-enabled applications, from concept through model training, optimized inference, and deployment. The role partners with engineering and product management to deliver and drive the strategic roadmap, leads sprint planning, stand-ups, sprint reviews, and retrospectives, and uses Jira dashboards and Confluence to provide comprehensive program updates to core and leadership teams. You will work closely with engineering on KPIs to improve execution and deliverables and be an integral member of Vision AI development and productization workflows. Qualifications include a Bachelor's degree in Electrical Engineering, Computer Science, or equivalent experience, 8+ years of end-to-end program management in a related role, excellent verbal and written communication, proficiency in Agile methodologies, and strong Jira expertise with the ability to guide an engineering team in a Scrum environment. The ideal candidate is well-organized, detail-oriented, with strong prioritization and stakeholder alignment skills, and able to operate in environments with shifting priorities. Preferred experience includes Vision AI or AI application development (data acquisition to model training, optimization, and edge deployment), embedded systems familiarity, and understanding of the Software Product Lifecycle for production-grade AI applications. NVIDIA highlights equal opportunity employment and offers competitive salaries with benefits; base