Top Tech Jobs & Startup Jobs

The MLOps Engineer collaborates with IT and engineering teams to create scalable solutions, automate workflows, and enhance systems for machine learning applications. Responsibilities include tool development, system monitoring, and on-call support.

The Staff ML Engineer will develop and deploy machine learning models for perception and navigation in humanoid robots. Responsibilities include sensor fusion, real-time inference, data collection, and mentoring junior engineers.

As a Staff Simulation Software Engineer, you'll design and maintain simulation systems for robotics testing, integrate AI, and drive improvements for safety and reliability in robot performance.

The TLM in Robotics Hardware Engineering will define, deliver, and validate robot hardware architecture, lead component selection, and oversee collaboration with manufacturers to ensure quality and reliability.

Lead the development of ML algorithms for robotic manipulation, focusing on multimodal perception and real-world deployment, integrating with other robotics functionalities.

Lead an embodied-AI team to develop and integrate multimodal ML systems for robotics, ensuring safety and performance in real-world applications.

Develop and optimize machine learning models for robots to navigate human environments. Lead design in ML systems and mentor junior engineers.

Design and maintain simulation systems for robotics, develop frameworks and tools for performance evaluation, and collaborate across teams to ensure real-world fidelity.

As a Sr/Staff Embedded Software Engineer, you'll design and maintain embedded software for robotics, developing drivers and integrating hardware components into cohesive systems.