Member of Technical Staff, Software Engineering

River AI is on a mission to create personal AI owned and shaped by each individual. They are seeking exceptional systems engineers to build high-performance engines that train their models, focusing on making training fast, reliable, and massively scalable.

Responsibilities:

• Architect and deploy fault-tolerant distributed systems for training and inference workloads across clusters with thousands of nodes
• Design high-performance kernels to maximize tensor operation efficiency, memory throughput, and networking over InfiniBand/RDMA
• Profile systems end-to-end to resolve blockers across hardware, software, data loading pipelines, and collective communication primitives
• Partner directly with research scientists to rapidly implement, optimize, and scale experimental model architectures