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 Developing new Features for Aerial L1 and L2 Software 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 12 years experience or PhD with 7 years experience or equivalent Robust 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 Experience in massive MIMO algorithm implementation and optimization for OTA performance Track record in E2E design testing of signal processing algorithms at the PHY layer or resource allocation optimization at MAC level Experience in field support Network Optimization in real world deployments 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