Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo, NVIDIA NIXL and NVIDIA UCX, tailored to the unique requirements of AI workloads.
Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.
Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies.
Lead proof-of-concept development to evaluate and drive such technologies.

Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
8+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads.
Experienced in algorithm design, system programming, computer architecture and operating systems.
Experienced in virtualization, networking and storage.
Deep understanding of performance profiling and optimization techniques, together with defining and using hardware features.
Strong programming and software development skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

Senior System Software Architect, AI, GPU Networking

Key skills