Systems Software Intern, Aerial PHY- Summer 2027
Full Job Posting
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.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until October 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
Qualifications
- Familiarity with CUDA programming and NVIDIA GPU Architectures
- Familiarity with 3GPP, ORAN, FAPI standards related to 5G/6G.
About NVIDIA
Computing platform company for AI and accelerated graphics.
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