Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Robotics Application Engineer will design, develop, and deploy software for robotic systems, integrating solutions into production environments while collaborating with cross-functional teams to enhance performance.

The Senior Robot Infrastructure Engineer will develop edge-to-cloud systems for robot fleet management, focusing on software implementation, OTA updates, and data pipeline architecture.

As a Robotics Engineer, you will design and implement software and hardware adaptations for customer deployments, manage testing practices, and collaborate with robotics teams to enhance product quality.

Coordinate candidate interview logistics, manage communications, support HR admin tasks, and ensure seamless hiring experiences with attention to detail.

The System Identification & Controls Engineer will characterize and validate robot dynamics, design tests, apply controls, and automate identification processes across robot fleets.

The Computer Vision AI & ML Engineer will develop and optimize deep learning models for robotics perception systems, collaborating across teams to integrate models and evaluate performance.

Responsible for designing and implementing reinforcement learning algorithms, conducting experiments, and optimizing models for robotic applications, collaborating with multiple teams.

Design and optimize deep learning models for robotic manipulation, ensuring robust and efficient algorithms for real-world applications.

The role involves enhancing software reliability for robotic systems, leading discussions, and collaborating with machine learning and deployment teams to ensure integration of AI models.

The Robotics Engineer will develop software solutions for robotic manipulation, design algorithms, and collaborate with the ML team on real robot deployments.