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Research Scientist, Networking Research - PhD College Grad

Remote / Online - Candidates ideally in
Santa Clara, Santa Clara County, California, 95053, USA
Listing for: We Love AI Jobs
Full Time, Remote/Work from Home position
Listed on 2026-10-12
Job specializations:
  • Research/Development
    AI Business & Operations
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 168000 - 264500 USD Yearly USD 168000.00 264500.00 YEAR
Job Description & How to Apply Below
# Research Scientist, Networking Research - PhD New College Grad 2026

NVIDIAUS, CA, Santa Clara Full-time $168,000 – $264,500 / yearAI tools:

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This research scientist develops network architectures and decision mechanisms for large-scale GPU and distributed AI systems. The role combines systems research, prototyping, and evaluation, with opportunities to publish, collaborate with academic researchers, and influence future NVIDIA platforms.
* Permanent* On-site
* PhD New Graduate
* PhD### Skills and expertise

Networking

Distributed systems

Computer architecture

Py Torch Tensor Flow JAXC++Python### Key responsibilities
* Develop network architectures and algorithms for scalable distributed AI systems.
* Prototype and evaluate network and system decision mechanisms using simulation or analytical models.
* Publish research, collaborate with external researchers, and contribute to future product directions.## How this job compares

Compared with 18 open junior research jobs on October 10, 2026.Pay:
This job pays $168K to $265K a year. The 9 open junior research jobs that publish US pay start at $130K on average, so this job starts about 30% higher.

Similar open jobs:
We Love AI Jobs lists 18 open junior research jobs at 13 companies.

Remote work:
This job is on site. 1 of the 18 junior research jobs (6%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. The research focuses on networks optimized for AI systems and on applying AI/ML methods to routing, congestion control, scheduling, and related decisions. Prototyping and evaluating these approaches are central responsibilities.## Full description

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.

NVIDIA is seeking an extraordinary innovator in networking and system architecture to join our Research team. In this role, you will focus on designing networks optimized for AI systems, as well as leveraging AI and machine learning to advance network architecture and enable intelligent, real-time decision-making for tasks such as control, routing, congestion management, and scheduling.

We are seeking a balanced background of research excellence in building systems and a deep understanding and broad perspective across the fields of computer architecture and communication systems for distributed computation. NVIDIA is a technology leader in systems for Artificial Intelligence, and this research team invents new networking technologies to advance the performance, scalability, and efficiency of next-generation computing platforms. This position offers you the opportunity to have a real impact while working with some of the most creative and forward-thinking people in the world who are here at this dynamic, technology-focused company.

What you'll be doing:
• Develop innovative network architectures, algorithms, and hardware/software co-design approaches for high-performance interconnects and large-scale distributed AI systems, including AI-assisted methods where appropriate, to enable efficient, scalable, and robust communication and extend the state of the art in networking, distributed computing, and system architecture.
• Create and evaluate mechanisms for…
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