Systems Software Intern, Aerial PHY

Nvidia

Confirmed live 2 days ago High trust

Closes in 4 days

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 7 days ago
Freshness: Confirmed live 2 days ago
Closes: Oct 31, 2026 (soon)
Nearby: 99+ roles within 25 mi

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1626 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1115 roles with salary data.

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At a glance

TL;DR · Systems Software Intern, Aerial PHY

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The Systems Software Intern, Aerial PHY- Summer 2027 will join the Aerial PHY team to develop core wireless technology for next-generation 5G and 6G networks. This role involves building and simulating sophisticated algorithms for the physical layer of the radio access network while developing an end-to-end reference system stack. Key responsibilities include implementing and optimizing PHY features on GPU platforms, supporting system integration, and conducting performance testing and lab trials. Candidates must utilize Matlab, Python, and C/C++ to handle signal processing tasks like coding, decoding, and MIMO. The position requires a strong background in classic and AI/ML based algorithms for wireless systems. The work focuses on turning advanced research into deployable platforms for commercial networks using CUDA programming and NVIDIA GPU architectures.

Skills

CUDA C++ Python Matlab GPU Programming 5G 6G Signal Processing AI ML C 3GPP ORAN FAPI Systems Software MIMO

What you'll do

Develop an end-to-end reference system stack for 5G/6G baseband.
Build and simulate 5G/6G PHY layer algorithms using Matlab and Python.
Implement and optimize PHY features in C/C++ and CUDA on GPU platforms.
Align software implementations with 5G/6G technical specifications.
Support system integration and performance testing for end-to-end systems.
Conduct system demonstrations and lab trials for commercial network platforms.

What we're looking for

Pursuing a PhD or MS in Electrical and Computer Engineering, Electrical Engineering, Computer Science, or a related field.
Strong background in 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++.
Familiarity with CUDA programming and NVIDIA GPU Architectures (preferred).
Familiarity with 3GPP, ORAN, FAPI standards related to 5G/6G (preferred).

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