Lead industrial design for human-scale general-purpose robots, shaping form, ergonomics, and manufacturability from concept to volume production at a fast-paced Bay Area robotics company.
Lead high-impact, cross-disciplinary programs at the intersection of AI and robotics, turning ambitious research and product goals into executable roadmaps and on-time delivery.
An experienced systems and ML-inference engineer is needed to lead development of low-latency, high-throughput inference pipelines spanning on-device and cluster deployments.
Lead the optimization and scaling of distributed training infrastructure for foundation models, improving wall-clock convergence by tuning data pipelines, kernels, and multi-node systems.
Lead the design and deployment of advanced control, state estimation, and trajectory optimization systems for general-purpose robots, working closely with hardware and algorithm teams.
