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The role involves developing interactive and scalable visualizations for complex infrastructure data, ensuring high performance and collaborating with engineering teams.

Design and implement systems software for high-performance GPU clusters. Debug complex distributed systems and own the systems lifecycle from design to production.

Lead the architecture and development of a network monitoring platform focused on observability for RDMA, RoCE, InfiniBand, and TCP/IP networks, while overseeing engineering standards and mentoring engineers.

Lead and contribute to design and build of high-performance, reliable, scalable network acceleration and distributed systems. Debug complex issues, optimize performance and fault tolerance, work across OS, networking, cloud, and full-stack components, and collaborate with engineering teams to deploy production services.

Own the full sales cycle for AI and infrastructure customers, develop strategic account plans, collaborate with Sales Engineering and Product, navigate technical discussions about distributed systems and AI workload reliability, represent the company at events, and drive quota-attainment.

As a Full Stack Engineer, you'll design and build web applications, develop front-end and back-end systems, and enhance platform performance.