What we need to see: M.Sc. or PhD. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. 12+ years of deep experience in software architecture, systems design, and applied research. 8+ years of proven leadership, building and driving high-performing engineering teams in fast-paced environments. Strong expertise in AI inference technologies, frameworks, and large-scale distributed systems. Hands-on experience with networking protocols (e.g., TCP/IP, RDMA, RoCE, InfiniBand) and data center networking architectures. Deep familiarity with AI DC architectures, hardware acceleration technologies, and SDKs (e.g., DOCA, CUDA or similar). Experience with AI data center design, including compute, networking, and AI storage systems. Exceptional communication and influence skills, with a demonstrated ability to align stakeholders and drive decisions across complex organizations. Ways to stand out from the crowd: A track record of aggressively prototyping, validating, and scaling new ideas into production. Strong foundations in system software, including operating systems and low-level architecture. Experience with hyperscale cloud and AI data center environments. Expertise in AI storage systems, high-performance computing (HPC), and end-to-end accelerated infrastructure. NVIDIA offers a uniquely dynamic environment where top talent thrives on innovation, ownership, and impact. Join a rapidly expanding organization where bold ideas turn into industry-defining technologies.
