Overview Job title: Program, Project Manager - Technical Program Manager Work on NVIDIA Metropolis platform offering GPU-accelerated libraries, SDKs, microservices, tools, and blueprints. Enable development, deployment, and scaling of AI-enabled applications from edge to cloud. Lead full lifecycle concept, model training, optimized inference, and deployment. Job Details Work Location (Tax): Santa Clara, California, USA Start Date: June 1, 2026 End Date: November 30, 2026 Key Responsibilities Work closely with engineering and product management to drive strategic roadmap execution. Collaborate in Agile ceremonies sprint planning, stand-ups, reviews, and retrospectives. Use Jira dashboards and bug databases for reporting; Confluence for program updates. Track KPIs with engineering teams to improve execution and deliverables. Act as integral member of Vision AI development and productization workflows. Facilitate communication between stakeholders and leadership to align goals and resolve dependencies. Required Skills & Qualifications Education : Bachelor`s degree in Electrical Engineering or Computer Science or equivalent experience. Experience : 6+ years of end-to-end Program Management experience; experience in similar or related roles. Core Skills : Excellent verbal, written, interpersonal, and presentation skills; Proficiency in Agile methodologies; Strong experience with Atlassian tools (Jira, Confluence) and ability to guide teams; Highly organized, detail-oriented, strong listening skills; Ability to work in fast-paced, high-uncertainty environments and adapt quickly; Strong prioritization and alignment-building skills; Ability to think long-term and build consensus. Ways to Stand Out Experience in Vision AI or AI application development lifecycle (data acquisition, labeling, training, optimization, deployment). Understanding of Embedded Systems (NVIDIA GPU familiarity is a plus). Deep understanding of Software Product Lifecycle for production-grade AI. Use of AI in Program Management to improve workflows and team velocity. Experience managing AI-specific challenges like model accuracy KPIs and human-in-the-loop validation. #J-18808-Ljbffr
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