- 15+ years in systems software and/or networking with deep expertise in high-performance networking (InfiniBand, RoCE, RDMA, NVLink), communication libraries (e.g. NIXL, NCCL, UCX, MPI, NVSHMEM), and GPU accelerated systems, with track record of defining and delivering complex, cross-team technical initiatives from research concept to production.
- MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Deep understanding of computer architecture, memory hierarchies, DMA engines, and OS-level networking.
- Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.
- Proficiency in programming languages such as C, C++, Rust and Python.
Ways to stand out from the crowd
- Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.
- CUDA programming and NVIDIA GPU architecture expertise.
- Proved experience influencing product strategy and technical roadmap at a senior level.
- Major open-source contributions.
With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.
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.