Principal Software Engineer - Dynamo

About

NVIDIA Dynamo is an innovative, open‑source platform that delivers efficient, scalable inference for large language and reasoning models in distributed GPU environments. By employing advanced techniques in serving architecture, GPU resource management, and intelligent request handling, Dynamo achieves high‑performance AI inference for demanding applications. The team addresses the most challenging issues in distributed AI infrastructure and seeks engineers excited about building the next generation of scalable AI systems.

• 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 optimise 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, and assist with issue triage on Git Hub.
• Work closely with the community to address issues, capture feedback, and evolve the framework’s APIs and architecture.
• Write clear documentation and contribute to user and developer guides.

• BS/MS or higher in computer engineering, computer science or related engineering (or equivalent experience).
• 15+ years of proven experience in related fields.
• Strong proficiency in systems programming (Rust and/or C++), with experience in Python for workflow and API development; experience with Go for Kubernetes controllers and operators development.
• Deep understanding of distributed systems, parallel computing, and GPU architectures.
• Experience with cloud‑native deployment and container orchestration (Kubernetes, Docker).
• Experience with large‑scale inference serving, LLMs, or similar high‑performance AI workloads.
• Background with memory management, data transfer optimisation, and multi‑node orchestration.
• Familiarity with open‑source development workflows (Git Hub, continuous integration and continuous deployment).
• Excellent problem‑solving and communication skills.

• Prior contributions to open‑source AI inference frameworks (e.g., vLLM, Tensor
  
  RT-LLM, SGLang).
• Experience with GPU resource scheduling, cache management, or high‑performance networking.
• Understanding of LLM‑specific inference challenges, such as context window scaling and multi‑model agentic workflows.

Base salary range: 272,000 USD – 431,250 USD, based on location, experience, and comparable positions. Eligible for equity and a comprehensive benefits package. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.