- MS or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience).
- 20+ years of proven industry experience.
- Deep technical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding.
- Expertise in architecting and developing RAN applications and proven expertise in system level optimizations. Proven experience in 5G NR PHY/L1 and L2 mac-scheduler algorithms design and development.
- Expertise in architecting wireless core technologies including accelerated user plane function (UPF).
- Deep expertise in AI and Machine Learning. Proven experience in applying AI techniques into RAN (L1, L2+) pipelines.
- Solid foundation in statistical analysis.
- Strong understanding of mathematics behind RAN algorithms.
- Strong hands-on experience on programming languages such as Python, C/C++, Matlab.
- Demonstrable experience working with Telecom Service Providers deploying commercial networks is a definite plus.
Ways to stand out from the crowd
- Strong leadership, communication, and problem-solving skills.
- Demonstrated success in leading impactful innovations and converting them to commercial products.
- A strong body of work at the intersection of AI, Cloud and Wireless technologies.
- Strong exposure to wireless standardization and associated industry consortiums.
- Proven ability to excel in a fast paced and collaborative environment.
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 and, due to unprecedented growth, our teams are rapidly growing.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 320,000 USD – 488,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.