Architecture & Roadmap: Develop and improve the technical design, architecture, and roadmap for radar-based 3D obstacle perception to support end-to-end autonomous driving functionalities, leveraging state-of-the-art DNN and transformer-based architectures.
Today, we're harnessing the transformative power of AI to define the next era of computing: one where our GPUs , CPUs and networking infrastructure serve as the intelligence behind computers, robots, and autonomous vehicles that understand and navigate the world.
Develop deep technical understanding of NVIDIA AI, accelerate computing portfolio inclusive of GPU, DPU, CPU, reference architectures, software, licensing models. Understand Lenovo’s product stacks including Data Center, Client, Edge, Networking, and Storage.
Elevate and prioritize the most promising Semiconductor ecosystem providers based on capacity to scale, attract capital, and drive sustained sales offtake, ensuring alignment with NVIDIA's strategy.
Lead and grow a team of highly skilled engineers. Drive development of NvSci technology for next generation automotive and other Embedded applications. Apply and invent processes to ensure high software quality and reliable schedules.
Set technical direction for major platform areas, leading the architecture, roadmap, and long-term health across multiple product cycles. Design and lead infrastructure initiatives that span team boundaries, building alignment with firmware, hardware, and business partners.
Engage with industry leaders, present NVIDIA's Full Stack solution, and NPN Ecosystem Partner solutions for customer success. Guide and co-pilot Enterprise AI Factory strategic sales campaigns with WWFO sales teams and NPNs during critical phases of the sales cycle.
developing scalable library software using modern tools and languages for various numerical method. performance tuning, optimization, and benchmarking of algorithms on various architectures.
Solve hard Day 2 operations problems at scale. Work alongside partner engineers to find the cause, prototype an approach, validate it under representative load, and leave behind a practice their team can operate. Make new technology Day 2 ready.
Build and maintain customer-ready Linux distributions, installation images (ISO), and software packages. Integrate NVIDIA software, drivers, and third-party components into Canonical Ubuntu and RHEL platforms.
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