- Direct contributions to TensorRT-LLM, vLLM, SGLang, FlashInfer, Dynamo, or comparable inference frameworks.
- Experience with disaggregated serving, wide expert-parallel MoE inference, KV cache transfer, or NCCL/NIXL/NVSHMEM communication at multi-node scale.
- CUDA kernel authorship or optimization experience on Hopper/Blackwell architectures, focusing on Tensor Cores, TMA, and warp specialization.
- Proven results on public inference benchmarks such as MLPerf Inference or SemiAnalysis InferenceX.
- Experience building or operating agentic AI workflows to automate engineering tasks.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family http://www.nvidiabenefits.com/
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: 124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3.
You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).
Applications for this job will be accepted at least until November 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.