Develop and optimize AI/ML modules for wireless signal processing functions
Survey prior art on AI/ML for RAN
Choose ML architectures and complexity for each RAN function
Benchmark over-the-air performance gains and compute needs across platforms
Iteratively train, test and modify model architectures
From the employer’s posting
Develop and Optimize AI / ML modules for functional blocks specifically in wireless signal processing
Perform literature survey to understand the prior art on AI/ML for RAN
Identify the right ML Architecture, complexity for each of the functional blocks
Benchmarking of OTA performance improvements with AI models and compute needs on different platforms
Iteratively train, test & modify Model Arch for performance improvements
Education & alternatives
What we need to see:
* Full time PhD student doing research in the fields of AI and Wireless domains, and able to work as an Intern for at least 6 months or more starting from last week of January 2026
* Thorough understanding of the wireless Layer1/Layer2 functions and algorithm aspects
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
C
C++
MATLAB
Python
Where the posting names them
* Hands on experience in simulating signal processing algorithms in Matlab and Python.
* Programming skills in C/C++
* Experience in analyzing the problem, identifying the right model architectures. developing Models, Training and Optimization, preferably on signal processing domains
* Deep understanding of Transformers, CNNs and other ML Architectures and their use cases
* Hands on experience in simulating signal processing algorithms in Matlab and Python.
* Programming skills in C/C++
About 42,000 in 2026, up 17% from the year before.Annual report (SEC Form 10-K)
Company
Listed as NVDA.
H-1B visas
978 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join NVIDIA.
NVIDIA Aerial CUDA Accelerated RAN (ACAR) is framework for building high-performance, software-defined, cloud-native Radio Access Network functions over NVIDIA CPU/GPU/DPU based systems, which will drive our AI native 6G solutions. We are seeking a self-motivated Intern to drive the adoption of AI/ML functions in the Phy and Mac layers of our Aerial SW. This position offers the opportunity to work on cutting-edge technology, using NVIDIA's world-class compute platforms to advance the field of AI native wireless stack to achieve the Spectral and Energy efficiency goals of 6G!
What you'll be doing:
As a member of Aerial RAN team working on AI Native stacks, you will be contributing to
* Develop and Optimize AI / ML modules for functional blocks specifically in wireless signal processing
* Perform literature survey to understand the prior art on AI/ML for RAN
* Analyze and identify the suitable ML architecture for the RAN functions of interest.
* Identify the right ML Architecture, complexity for each of the functional blocks
* Collaborate with multi-functional teams to optimize the OTA performance and compute complexity with DevTech and other business units within NVIDIA
* Benchmarking of OTA performance improvements with AI models and compute needs on different platforms
* Iteratively train, test & modify Model Arch for performance improvements
What we need to see:
* Full time PhD student doing research in the fields of AI and Wireless domains, and able to work as an Intern for at least 6 months or more starting from last week of January 2026
* Thorough understanding of the wireless Layer1/Layer2 functions and algorithm aspects
* Excellent grip on AI and ML concepts, techniques and abreast of latest developments in this field
* Deep understanding of Transformers, CNNs and other ML Architectures and their use cases
* Hands on experience in simulating signal processing algorithms in Matlab and Python.
* Programming skills in C/C++
* Experience in analyzing the problem, identifying the right model architectures. developing Models, Training and Optimization, preferably on signal processing domains
Ways to stand out from the crowd:
* Knowledge of CPU, DSP or GPU architecture, as well as memory, I/O and networking interfaces.
* Experience with programming latency sensitive, real-time, multi-threaded applications on CPUs and one or more of GPUs or DSPs or Vector processors.
* Appetite to learn the details of how next generations of GPU will operate and build an outstanding Software-Radio 5G/6G stack that can fully demonstrate their power.
* Familiarity with CUDA programming and NVIDIA GPU Architectures
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. If you're creative and autonomous, we want to hear from you!