- 12+ years in systems software and/or networking with demonstrated ownership of complex projects.
- MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Solid understanding of high-performance networking: InfiniBand, RoCE, RDMA, NVLink, GPUDirect.
- Strong C/C++/Rust systems programming with comfort in performance profiling and low-level debugging.
- Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.
Ways to stand out from the crowd
- Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.
- Knowledge of storage networking (NVMe-oF, GPUDirect Storage, S3).
- Background of Reinforcement Learning systems.
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 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.