We are seeking a self-motivated senior software engineer for the Aerial Algorithms team. This hire will spearhead the creation and improvement of RAN algorithms. This will include a focus on AI/ML technologies. This position offers the opportunity to work on 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 NVIDIA's Aerial team, you will 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. You will enable realization of algorithms in a GPU accelerated system, carefully assessing the design and implementation tradeoffs! We need someone who can effectively work with customers and ecosystem partners and support integration, system simulations, performance benchmarking, and optimizations.
What we need to see:
- MS or PhD degree in Electrical Engineering, Computer Science or equivalent experience.
- 8+ years relevant experience
- 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
- 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
Ways to stand out from the crowds:
- 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
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.