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Über
Driving hardware-software co-optimization with GPU, DPU, NIC, and switch teams through GPUDirect RDMA, NVLink, and next-generation interconnects
Profiling and optimizing data movement across GPU memory, system DRAM, NVMe, and network fabrics
Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM
Contributing to and maintaining open-source projects, mentoring engineers, conducting design reviews, and prototyping experimental technologies to evaluate their viability
What we need to see: 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 the pay of employees in similar positions. The base salary range is 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 May 23, 2026.
This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
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