Our growing ML team in Seattle builds risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence
Job Summary
Our growing ML team in Seattle builds risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence.
In this role, you will own the edge inference stack end to end, profiling and accelerating models, improving runtime performance across latency, throughput, memory, and power, and partnering closely with perception, autonomy, and platform teams to deliver robust on-robot behavior in the field.
This is an opportunity to shape the future of robotic autonomy by translating state-of-the-art ML into high-performance, production-grade edge deployments that operate reliably in complex, dynamic environments on real robots.
Matching Summary
Our growing ML team in Seattle builds risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence.