Senior GPU Networking Architect

Responsibilities

• Build, implement, and optimize GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems.
• Develop GPU-resident communication primitives and device-side APIs that enable fine-grained, kernel-initiated data movement across nodes and accelerators.
• Collaborate with network software, hardware, and AI framework teams to co-design communication strategies that align with GPU execution patterns and emerging model architectures.
• Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and validate new communication strategies before committing them to production.
• Contribute to the evolution of programming models that expose GPU-aware networking capabilities to application developers.

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