The role
From Nvidia's own posting.
Today, NVIDIA is 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 an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
NVIDIA Dynamo is an innovative, open-source platform focused on efficient, scalable inference for large language and reasoning models in distributed GPU environments. By bringing to bear sophisticated techniques in serving architecture, GPU resource management, and intelligent request handling, Dynamo achieves high-performance AI inference for demanding applications. Our team is addressing the most challenging issues in distributed AI infrastructure, and we’re searching for engineers enthusiastic about building the next generation of scalable AI systems. As an Applied AI Research Software Engineering intern on the Dynamo project, you will address some of the most sophisticated and high-impact challenges in distributed inference, including: Dynamo k8s serving platform, disaggregated serving, dynamic GPU scheduling, intelligent routing, and distributed KV cache management.
What you'll be doing:
Collaborate on the design and development of the Dynamo Kubernetes stack.
Introduce new features to the Dynamo Python SDK and Dynamo Rust Runtime Core Library; design, implement, and optimize distributed inference components in Rust and Python.
Contribute to the development of disaggregated serving for Dynamo-supported inference engines (vLLM, SGLang, TRT-LLM, llama.cpp, mistral.rs).
Improve intelligent routing and KV-cache management subsystems.
Contribute to open-source repositories, participate in code reviews, assist with issue triage on GitHub, work closely with the community to address issues, capture feedback, and evolve the framework’s APIs and architecture.
What We Need To See:
Pursuing BS, MS or PhD in Computer Science or equivalent program area
Excellent Golang, Rust and/or Python programming and software design skills, including debugging, performance and service health analysis, and test design
Good understanding of algorithms and data structures, solid knowledge of RESTful APIs
Highly motivated, dedicated, and curious about new technologies. You take pride in your work and strive to achieve incredible results and possess excellent communication, planning, and problem solving skills.
Ways To Stand Out From The Crowd
Understanding of machine learning or NLP concepts
Experience in software shipping cycles (dev, deploy, release, CI) and open-source software development
Experience working with inference engines such as vLLM, SGLang TensorRT-LLM and similar
Experience building and deploying containers in Kubernetes environments
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!
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.

You will also be eligible for Intern benefits .
Applications for this job will be accepted at least until August 9, 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.