Roboticist – Embedded AI, Machine Learning, Computer Vision

This is a fully remote position, open to applicants in United States.

📋 Description

• Serve as the main robotics subject-matter expert in discussions with clients and assist in designing tailored solutions.

• Create and develop computer vision and perception systems for tasks such as detection, segmentation, and pose estimation.

• Engage with 3D geometry, camera models, projection techniques, coordinate systems, sensor calibration, sensor fusion, and LiDAR processing.

• Develop egocentric data collection pipelines utilizing head/wrist cameras, depth sensors, and IMUs for robot learning.

• Assess, integrate, and optimize VLA models while considering data and computational limitations.

• Construct REST/gRPC and PostgreSQL services that provide model inference and robotics functionalities.

• Establish client success metrics and outline program scope, staffing models, and equipment requirements.

• Offer leadership in robotics and embodied AI across hardware, data collection, simulation, and new modeling approaches.

• Convert client technical specifications into actionable directives for Operations, Solutions, and Quality teams.

• Identify and assist in developing robotics-related business opportunities with the Commercial team.

• Provide immediate technical feedback regarding equipment, calibration, and field performance during pilot projects and live operations.

• Coordinate robotics solution requests between the US/EU and India/APAC teams across different time zones.

⛳️ Requirements

• Educational background in robotics, mechatronics, robotics engineering, or a related technical discipline.

• Proven experience in robotics machine learning, computer vision, or technical solutions engineering, with a history of successful production deployments.

• Demonstrated experience in client-facing roles or presales for robotics, automation, or embodied-AI initiatives, paired with practical build and deployment experience.

• Strong expertise in computer vision and perception, covering detection, segmentation, pose estimation, and optical flow.

• In-depth knowledge of 3D geometry, encompassing SE(3), camera models, projection techniques, and coordinate systems.

• Proficiency in sensor calibration and fusion, including LiDAR-camera integration and LiDAR processing.

• Experience with sim-to-real applications using platforms such as Isaac Sim, MuJoCo, Gazebo, or Unity Robotics Hub.

• Conceptual understanding of VLA architectures and current state-of-the-art developments in the field.

• Strong programming skills in Python and PyTorch, with the ability to interpret and implement findings from research literature.

• Awareness of industry trends in robotics and embodied AI, including data collection techniques and deployment strategies.

• Capability to translate technical details into business-oriented recommendations for non-technical audiences.

• Comfortable working across diverse teams, including Commercial, Solutions, Operations, and Quality.

• Preferably experienced in supporting global or multi-region client projects.

• Practical experience with multi-camera systems, including calibration, synchronization, and tracking.

• Ability to read and critically analyze advanced technical reports from leading robotics research labs.

• Willingness and ability to travel to data collection sites worldwide as required.

🏝️ Benefits

• Annual performance bonus of up to 7%.

• Flexible remote work arrangements.

• Travel assistance for client meetings and on-site support.