Senior Software Engineer Aerial Platform

About this role

NVIDIA Aerial CUDA Accelerated RAN is framework for building high-performance, software-defined, cloud-native Radio Access Network functions over NVIDIA CPU/GPU/DPU based systems. We are seeking a self-motivated senior software engineer to drive development, performance and scalability of our platform. This position offers the opportunity to work on cutting-edge technology for 5G and 6G networks, using NVIDIA 's world-class compute platforms to advance the field of software-defined digital signal processing stack! As an NVIDIA N, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. What you will be doing: Lead design and development of cutting-edge end-to-end reference system stack for 5G/6G baseband system. Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum throughput Collaborating with cross-functional teams to troubleshoot performance bottlenecks in CPU, GPU and NIC sub-systems Work in lab environment to trouble-shoot and integrate complex software modules.

Develop software, implementing new baseband functions in C/C++/Python/CUDA on a GPU platform. Support system integration, performance testing, system demonstration and lab trials for end-to-end system. Be a technical bridge between engineering team and partners/customers engineering team. Engage with customer field trials and technical teams. Help in implementing missing features to unblock progress at customers/partners and in benchmarking and develop/evaluate test tools for Aerial SDK evaluation.

What we need to see: Our ideal candidate has a wireless communication systems or digital signal processing background, a passion for building real-world carrier-grade communication systems, and industry experience developing PHY/MAC layer or base band unit (BBU) software in C/C++. Understanding of the PHY/MAC layer procedures and typical performance tradeoffs, as well as overall system performance. Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view.