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Sign Up to ReadNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
The Aerial PHY team works on the core wireless technology that helps power next-generation 5G and 6G networks. We build high-performance software for the physical layer of the radio access network, using GPUs to speed up sophisticated signal-processing tasks like coding, decoding, MIMO, and real-time data handling. Our work helps turn advanced research into real, deployable platforms for commercial networks and future 6G innovation, and we are looking to hire an intern for Summer 2027! This opportunity offers a chance to work at the intersection of wireless communications, CUDA/GPU programming, systems software, and AI for telecom.
What you will be doing:
Develop cutting-edge end-to-end reference system stack for 5G/6G baseband.
Build and simulate sophisticated algorithms for 5G/6G PHY layer in Matlab/Python.
Implement and optimize PHY features in C/C++/CUDA on a GPU platform based on 5G/6G spec.
Support system integration, performance testing, system demonstration and lab trials for end-to-end system.
What we need to see:
Pursuing PhD or MS in Electrical and Computer Engineering, Electrical Engineering, Computer Science or related.
Strong background in the classic and AI/ML based algorithms for communication signal processing in wireless systems.
Good understanding of the balance between algorithm performance and implementation cost.
Programming skills in Matlab/Python and C/C++.
Ways to stand out from the crowd:
Familiarity with CUDA programming and NVIDIA GPU Architectures
Familiarity with 3GPP, ORAN, FAPI standards related to 5G/6G.
Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
From the office
NVIDIA
Office in United States
Also hiring in United Kingdom, Seattle, United States, Munich, Germany and 15 more places
236 of their 656 open roles are remote
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£92,701 - 109,060 / year