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Lead end-to-end hardware development from architecture and prototyping through validation, industrialization, and production ramp. Create and manage program plans, track cost/mass/reliability/performance metrics, mitigate technical and supply-chain risks, align cross-functional teams, coordinate with suppliers and contract manufacturers, enforce configuration/change control and BOM accuracy, and support DVT/PVT and production validation testing.

Build and operate scalable cloud and on-prem infrastructure for robotics and ML: IaC, CI/CD, Kubernetes, monitoring, deployments to development and production robot fleets, simulation and testing pipelines, cost optimization, security, and incident response to improve reliability and developer productivity.

Design and optimize middleware and runtime systems for robotic platforms, ensuring system stability and user experience through CI/CD and deployment pipelines.

Research Scientists and Engineers are needed to develop and implement robotics solutions, integrating research ideas with practical systems for real-world applications.

The Electrical Design Engineer will develop complex electrical systems, execute PCB design, collaborate with other engineers, and validate products through testing.

The role involves building large-scale data systems for robotics AI training, focusing on data pipelines, storage, and workflows.

The role involves building systems for large-scale model training, focusing on distributed training, ML infrastructure, and GPU performance optimization.

Design, implement, and maintain production firmware for robotic systems using C/C++ or Rust. Develop real-time control loops, integrate sensors and actuators, manage microcontroller peripherals, and implement embedded communication protocols. Collaborate with electrical engineers on board bring-up and hardware-software interfaces. Build validation tooling, debug hardware/software interactions, and support field deployment.

Design, implement, and tune control algorithms and dynamic models for robot joints and whole-body motion. Build simulation infrastructure, analyze real-world data, collaborate with firmware/mechanical/electrical teams, and validate control performance across the robots operating envelope.

Onsite technical lead managing data-collection devices and robot deployments: provision and configure hardware, run diagnostics, troubleshoot Linux and networking issues, coordinate with HQ engineering, and serve as the primary customer-facing technical contact to maintain system health.