Senior Robotics Engineer – Applied AI

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

📋 Description

• Serve as the principal expert in robotics during client discussions.

• Suggest robotics methodologies, equipment, and program designs through co-design and iterative processes.

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

• Work with 3D geometry, camera models, projections, coordinate frames, sensor calibration, sensor fusion, and LiDAR processing.

• Create egocentric data-collection pipelines utilizing head/wrist cameras, depth sensors, and IMUs.

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

• Construct REST/gRPC and PostgreSQL services that deliver model inference and robotics solutions.

• Establish success criteria and influence program scope, staffing structures, and equipment requirements.

• Provide leadership in the domains of robotics and embodied AI for client solutions.

• Convert client technical specifications into actionable plans for internal delivery teams.

• Highlight technical limitations and trade-offs to clients.

• Identify and assist in shaping robotics opportunities alongside Commercial teams.

• Establish technical credibility in client-facing commercial initiatives.

• Manage technical evaluations on equipment, calibration, and field performance during pilot and live programs.

• Oversee on-site setup, equipment readiness, and field execution across various project locations.

• Coordinate US/EU robotics requests with India/APAC teams across different time zones.

⛳️ Requirements

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

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

• Demonstrated experience in client-facing or presales roles related to robotics, automation, or embodied AI programs, along with practical build and deployment experience.

• Strong understanding of computer vision and perception, encompassing detection, segmentation, pose estimation, and optical flow.

• In-depth knowledge of 3D geometry, including SE(3), camera models, projections, and coordinate frames.

• Proficiency in sensor calibration and fusion, including integration of LiDAR with cameras, as well as LiDAR processing.

• Experience with sim-to-real applications using tools like Isaac Sim, MuJoCo, Gazebo, or Unity Robotics Hub.

• Conceptual understanding of VLA architectures and the current state-of-the-art landscape.

• Strong skills in Python and PyTorch; ability to comprehend and implement findings from research papers.

• Awareness of robotics and embodied AI industry trends, data collection methodologies, and deployment frameworks.

• Capability to translate technical concepts into business-relevant insights.

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

• Experience in supporting global or multi-region client engagements is preferred.

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

• Ability to read and critically analyze advanced technical reports.

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

• Familiarity with technical stacks such as OpenCV, Open3D, PCL, ROS/ROS2, VLA models, ViTs, REST/gRPC, Docker, PostgreSQL, TensorRT, and ONNX.

🏝️ Benefits

• Annual performance bonus of up to 7%.

• Flexible remote work options.

• Opportunities for travel to client meetings and hands-on site support.