Drive innovation by integrating machine learning and trajectory planning in high autonomy systems, ensuring safety and performance in autonomous vehicle software development.

The Senior System Design Engineer at NVIDIA will collaborate with peer engineers to develop GPU/Tegra based products across various applications such as gaming, automotive, and consumer electronics. The role involves reviewing board designs, optimizing circuits, and working with cross-functional teams to balance product cost, performance, and schedule.

Lead the charge in automating and operating large-scale storage platforms using Kubernetes. Collaborate with teams to enhance system reliability and efficiency, ensuring seamless deployment and observability for production infrastructures.

Lead the charge in driving NVIDIA AI software adoption through strategic partner engagement and enablement. Collaborate across teams to implement go-to-market strategies and influence product roadmaps, ensuring successful integration of AI technologies.

The Senior Deep Learning Communication Architect at NVIDIA will focus on optimizing communication performance and designing efficient communication protocols for deep learning workloads. This role involves collaborating with hardware and software teams to enhance the scalability and performance of distributed deep learning systems.