NVIDIA is seeking a Director of Software Architecture to lead and accelerate the evolution of next-generation AI data center and networking technologies. This role is designed for a hands-on, execution-driven leader who pushes boundaries, translates vision into reality, and delivers high-impact solutions at scale. You will operate at the intersection of innovation, architecture, and delivery—shaping the future of AI networking and infrastructure.
What you will be doing:
- Drive identification, evaluation, and rapid adoption of emerging technologies, ensuring strong alignment with strategic roadmap and measurable business outcomes.
- Lead the design and delivery of advanced networking applications, leveraging data plane programming and modern networking protocols to solve complex, large-scale challenges.
- Architect solutions across AI data center environments, integrating GPU-based systems, hardware acceleration, and high-performance networking.
- Act as a thought leader and industry influencer—engaging directly with customers, publishing technical content, and representing NVIDIA at key conferences and forums.
- Define and execute a bold architectural vision for NVIDIA networking in close collaboration with cross-functional software and hardware leaders.
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.