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 us at key conferences and forums.
Define and execute a bold architectural vision for our 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.
