NVIDIA Panel: AI, Product, & Data Science Event @ UNC Computer Science

THIS IS NOT AN NVIDIA RECRUITING EVENTInterested in building at the forefront of AI and data-driven innovation? Join NVIDIA professionals across product management, AI, data science, and applied AI research for a candid conversation about their roles, career paths, and how students can break into the field. Hear from leaders in Product Management, AI, Data Science, and Applied AI Research. Learn how technical and non-technical roles collaborate to bring AI products to life. Gain insight into what NVIDIA looks for in early-career talent. Ask questions about breaking into AI, research, and data-focused roles. The event will start as lightning talks and then open up for an interactive Q&A Fonda IngramWhat happens when engineers become conductors—no longer just building systems, but orchestrating how it all comes together?  I’ll discuss the identity shift of “Broader vs. Deeper: Navigating the Transition from Developer to Technical Program Management”.  I’ll also share challenges like balancing technical depth with strategic oversight and what it means to be a motivational enabler.  Erick GalinkinA lot seems to have changed in the age of agentic AI from a security perspective — new threats like prompt injection, agent flow hijacking, and others continue to emerge. Despite these changes, many traditional cybersecurity best practices are still extremely effective. We’ll discuss how these agents can be attacked and practical steps for defending against these attacks. Megan HinelineAs a People Data Analyst, I spend my time turning messy HR data into reliable insights that help leaders make better decisions about their teams. I will walk through how I partner with stakeholders to sharpen their questions, validate and automate the ETL behind the scenes, and design repeatable reporting that tells a clear story. I will also share the challenges of balancing data quality with speed, and what it looks like to be a translator between technical data work and real people decisions.Israel Silva Dias Driving into the void – designing machines for markets that don’t exist. Supplier scarcity, cost fluctuations, long development cycles, lead times, regulatory changes, geopolitics, and most of all, near-weekly revolutions in software requirements – how to drive a hardware programme in a fast-changing environment?