Personal AI owned and shaped by individuals.

Member of Technical Staff, Hardware, Compiler Engineer

River AI is on a mission to create personal AI owned and shaped by individuals, and they are seeking exceptional AI compiler engineers to build the software bridge between AI models and custom silicon. The role involves designing compiler passes, developing backend toolchains, and collaborating with hardware and software teams to optimize performance.

Member of Technical Staff, Hardware, Kernel Engineer (Custom Silicon)

River AI is on a mission to create personal AI owned and shaped by individuals, focusing on developing custom hardware and deep learning research. They are seeking a Kernel Engineer to design and implement optimized kernel generators for their high-performance custom silicon, collaborating closely with various teams to enhance compute efficiency.

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.

Founding GTM Lead

River AI is on a mission to create personal AI owned and shaped by each individual. They are seeking an exceptional GTM leader to drive the growth and adoption of River API, focusing on enterprise adoption and revenue.

Member of Technical Staff, Product Development

River AI is on a mission to create personal AI owned and shaped by each individual. They are seeking exceptional product engineers who can work across the stack, taking end-to-end ownership to turn new AI capabilities into software that people use every day.

Member of Technical Staff, Research

River AI is dedicated to creating personal AI owned and shaped by individuals. They are looking for exceptional researchers to design and train foundation models that power their personal AI, focusing on deep learning architectures that continuously learn and personalize.

River AI is on a mission to create personal AI owned and shaped by each individual, and they are seeking exceptional systems engineers to build the high-performance engines that train their models. The role involves taking ownership of the core infrastructure stack, ensuring fast, reliable, and massively scalable training for their AI models.