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NVIDIA

Systems Software Intern, Aerial PHY - Summer 2027

  • Office
  • 0-3 years

Salary

Not stated

Similar roles pay $85K - 140K a year · our estimate

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Description

NVIDIA 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.

Responsibilities

  • 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.

Where you’d work

From the office

About the company

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

Your chances

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  • 19 checks run
  • 2 red flags

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Details10 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • C++
  • CUDA
Seniority
Intern
Type
Internship
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Development
Seniority
Intern
Experience
25+ years
Tech stack
  • Python
  • C++
  • CUDA

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Internship

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