Senior Software Engineer, Aerial - Performance

NVIDIA Aerial CUDA Accelerated RAN (ACAR) 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 performance engineer to drive 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!

What you'll be doing:

As a member of Aerial RAN team working for 5G and 6G networks, you will be responsible for:

• Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum efficiency

• Crafting and implementing performance verification tools, frameworks and dashboards

• Monitoring and prioritizing performance regressions reported by CI/CD

• Collaborating with multi-functional teams to solve performance bottlenecks in CPU, GPU and NIC sub-systems

• Benchmarking performance use-cases on different platforms

What we need to see:

• BS/MS (or equivalent experience) in a relevant field and 10+ years’ experience or PhD with 5+ years’ experience or equivalent.

• Strong software design, development, debugging and testing skills.

• Hands-on experience with performance analysis, characterization and optimization.

• Experience with programming latency sensitive, real-time, multi-threaded applications on CPUs and one or more of GPUs or DSPs or Vector processors.

• Deep knowledge of CPU, DSP or GPU architecture, as well as memory, I/O and networking interfaces.

• Familiarity with data science and using visualization tools to summarize large quantities of data.

• Experience in one or more programming / scripting languages: C/C++, Python, shell scripting.

Ways to stand out from the crowd

• Experience in designing and managing firmware timelines for wireless SoCs used in cellular wireless networks and/or terminals!

• Track record in E2E design/testing of signal processing algorithms at the PHY layer or resource allocation optimization at MAC level.

• CUDA experience highly desired.

• Appetite to learn the details of how next generations of GPU will operate and build an outstanding Software-Radio 5G/6G stack that can fully demonstrate their power.