PhD Intern, AI ML in Wireless L1/L2 - Spring 2026 at NVIDIA

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Telecommunications, AI, WirelessIndustries

Requirements

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
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

Responsibilities

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

Skills

Wireless Signal Processing

RAN

Phy Layer

MAC Layer

CUDA

Deep Learning

GPU

Benchmarking

OTA Performance

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free