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Develop and maintain robotic user workflows, integrating sensors and designing autonomous systems for real-world applications, ensuring high performance and reliability.

As the Lead Functional Safety Engineer, you will design and implement safety systems for autonomous robotic platforms, oversee hardware integration, and validate safety protocols while leading a safety-focused engineering team.

As a DevOps Engineer, you will improve CI/CD pipelines, manage containerized infrastructure, ensure deployment reliability, and troubleshoot production issues.

The Software Engineer focuses on building and maintaining development environments and tooling infrastructure to support engineering teams, improving developer velocity and code quality across projects.

The Forward Deployed Engineer will manage deployment, integration, and operational performance of autonomous robotic systems, collaborating with teams and ensuring mission-critical functionalities.

Develop and optimize large-scale point-cloud processing pipelines (registration, denoising, segmentation, primitive extraction); design efficient 3D algorithms focused on memory and runtime; implement production-grade computational geometry and linear algebra in C++ and Python; solve reconstruction challenges (loop closure, global consistency, multi-view fusion); evaluate and integrate emerging 3D vision methods and work with platform teams for scalable deployment.

The Robotics Autonomy Engineer designs and implements motion planning and control algorithms for robotic systems, ensuring precise navigation and integration across autonomy layers, while analyzing performance and improving field deployment.

The Sensor Systems Engineer designs, integrates, and validates sensors for robotic platforms, ensuring accurate data collection in various environments. Responsibilities include system architecture, calibration, performance evaluation, and collaboration across teams.

Own infrastructure for humanoid robotics research, including CI/CD, containerized builds, simulation and hardware-in-the-loop testing, Airflow data pipelines, dataset registries, and AWS infrastructure managed as code. Operate Kubernetes, ECS, Batch, RDS, S3, networking, secrets, observability, and access controls. Establish compliance, reproducibility, lifecycle policies, documentation, and runbooks while supporting researchers and coordinating infrastructure reuse with platform and cloud teams.

Provides technical direction for production robotics autonomy systems spanning perception, localization, mapping, planning, and control. Architects stable interfaces, improves software quality, leads complex reliability investigations, translates robotics research into deployed capabilities, and mentors senior engineers across teams. The role focuses on field-ready systems for legged and wheeled robots, real-time performance, fleet observability, and reliable operation in challenging environments.