Senior Software Engineer Aerial – Wireless Ran Algorithms Development

NVIDIA NVIDIA · Semiconductors · Bangalore, India +2

Senior Software Engineer for NVIDIA's Aerial Algorithms team, focusing on the creation and improvement of RAN algorithms for 5G/6G networks. This role integrates AI/ML and Deep Learning into the PHY and MAC-Scheduler layers, utilizing NVIDIA's compute platforms for software-defined digital signal processing. Responsibilities include system build initiatives, algorithm research and development, customer and partner support, system simulations, performance benchmarking, and optimizations.

What you'd actually do

  1. guide the system build initiatives encompassing research, composition, and development of RAN algorithms within the realms of 5G/6G PHY and MAC-Scheduler, integrating innovative strategies like AI/ML, Deep Learning, and Raytracing.
  2. enable realization of algorithms in a GPU accelerated system, carefully assessing the design and implementation tradeoffs!
  3. effectively work with customers and ecosystem partners and support integration, system simulations, performance benchmarking, and optimizations.

Skills

Required

  • MS or PhD degree in Electrical Engineering, Computer Science or equivalent experience.
  • Minimum of 8 years relevant experience
  • proven theoretical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding
  • deep expertise in LTE/5G NR L1 (PHY) and L2 (MAC-scheduler) algorithms design and optimizations
  • Experience with wireless algorithm performance characterization and analysis
  • Wireless base station design, development, and commercialization experience
  • Experience building system models with Matlab, C/C++ and/or Python for algorithm design and link-level simulation
  • Solid knowledge of 3GPP 5G NR standard
  • Strategic context of Telecom Industry and Wireless technology evolution

Nice to have

  • Research experience in AI/ML and its applications to wireless applications
  • Demonstrated experience in software development for commercial RAN products
  • Knowledge of SIMD computing architecture
  • Background of GPU or CUDA programming
  • Knowledge of Wireless Protocols and E2E Deployment Architecture

What the JD emphasized

  • We require proven theoretical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding
  • We seek deep expertise in LTE/5G NR L1 (PHY) and L2 (MAC-scheduler) algorithms design and optimizations

Other signals

  • AI/ML technologies
  • AI/ML, Deep Learning
  • GPU accelerated system