Core Robotics Engineer

Sereact•Boston, MA

22h•$125,000 - $260,000

About The Position

We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities. We're looking for a talented Core Robotics Engineer to develop, implement, and refine the software and control systems that power our mobile manipulators and automation platforms. In this role, you'll design and build the perception, planning, and control stacks that enable precise and efficient manipulation in dynamic, real-world environments, working with middleware platforms like ROS 2 for real-time communication and modularity. You'll collaborate closely with hardware and multidisciplinary engineering teams to ensure seamless integration of software and hardware, pushing the boundaries of what our robots can achieve. This role will work closely with our teams in Germany to ensure core product scalability.

Requirements

5+ years of experience developing robotic systems or automation platforms.
Solid experience with ROS 2, Isaac Sim, and simulation environments.
Experience working with perception systems like cameras, LiDAR, or depth sensors.
Proficiency in programming languages such as Python and C++.
Familiarity with robotic manipulators, vision systems, and motion control systems.
Knowledge of kinematics, dynamics, and system modeling.
Willingness and ability to travel internationally for up to 2 months for onboarding period.

Nice To Haves

Familiarity with cloud platforms and containerization tools (e.g., Docker, Kubernetes) is a plus.

Responsibilities

Develop, test, and deploy software for robotic systems with a focus on motion planning, perception, and control.
Design algorithms for path planning, trajectory optimization, and collision avoidance.
Implement and test advanced software for sensor fusion, localization, and mapping.
Collaborate with hardware engineers to integrate robotic arms, grippers, and sensors.
Work with middleware platforms like ROS 2 for real-time communication and modularity.
Optimize system performance for real-time operation in production environments.
Troubleshoot issues across software and hardware systems to ensure robust operation.
Research and implement state-of-the-art methods in robotics, including machine learning techniques for task execution.