- Masters or PhD or equivalent experience
- 10+ years in Computer Science, Computer Engineering, or related field
- Ability to work in a fast-paced, agile team environment
- Excellent Rust/Python programming and software design skills, including debugging, performance analysis, and test design.
- Understanding of modern LLM API semantics, including structured outputs, tool calling, reasoning controls, token accounting, context management, and multimodal inputs.
Ways to stand out from the crowd
- Prior contributions to open-source AI inference frameworks (e.g., vLLM, TensorRT-LLM, SGLang).
- Experience optimizing GPU memory, KV and prefix caches, or high-performance networking for long-context, reasoning, and tool-calling workloads.
- Understanding of LLM-specific inference challenges for agentic workloads, including context and reasoning-token growth, bursty tool-call-driven traffic, multi-turn state reuse, and scheduling across concurrent trajectories.
- Prior experience integrating self-hosted LLM serving stacks with agent harnesses such as OpenCode, Codex, Claude Code, and Pi, including compatibility for APIs, streaming, structured outputs, tool calls, and session semantics.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most expert and passionate people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come help us build the real-time, efficient computing platform driving our success in the multifaceted and quickly growing field Deep Learning and Artificial Intelligence.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.