Vision Systems Architect – Robotics & AI

Vision Systems Architect – Robotics & AI

Location: Manhattan, NY (On-Site or Hybrid)

Industry: Robotics & Automation

An emerging leader in advanced robotics is seeking a Vision Systems Architect to develop and integrate real-time perception frameworks that elevate the intelligence and autonomy of robotic platforms. This role is pivotal in enabling machines to interpret and respond to dynamic physical environments with precision and adaptability. From warehouses to clinical labs, their AI-driven solutions are revolutionizing operational workflows across multiple industries.

This is an opportunity to contribute at the cutting edge of machine perception, where computer vision meets embedded intelligence. You’ll work within a world-class R&D team pushing the boundaries of robotic autonomy.

Key Responsibilities:

• Design and deploy advanced visual perception algorithms for robotic applications, including object recognition, pose estimation, and scene segmentation.
• Leverage stereo vision, depth sensing, and sensor fusion techniques (including IMU and LiDAR integration) to achieve spatial awareness in complex environments.
• Optimize real-time vision pipelines for embedded platforms and edge computing hardware.
• Lead data annotation and active learning efforts to build robust training datasets and continuously improve model accuracy.
• Collaborate with cross-functional teams including control systems, mechanical engineering, and AI/ML groups to embed vision intelligence into end-to-end robotic behaviors.
• Research and evaluate the latest academic and industry breakthroughs in computer vision and bring applicable innovations into production environments.

Qualifications:

Required:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field.
• 3+ years of experience in computer vision engineering with a focus on real-time perception systems.
• Strong fluency in Python and C++, with hands-on use of vision and robotics libraries (e.g., OpenCV, ROS).
• Proficiency with deep learning tools such as PyTorch or TensorFlow, particularly for visual data.
• Expertise in 3D geometry, camera calibration, and visual SLAM techniques.

Preferred:

• Experience with embedded AI hardware (e.g., NVIDIA Jetson, Coral, or similar).
• Familiarity with model optimization and deployment frameworks (e.g., TensorRT, ONNX).
• Exposure to robotic motion planning, control theory, or kinematic modeling.

What’s In It For You:

• Play a key role in developing real-world robotics solutions that impact healthcare, logistics, and industrial automation.
• Work alongside leading experts in AI and robotics in a collaborative, mission-driven environment.
• Competitive compensation, equity participation, and comprehensive benefits package.
• Direct access to cutting-edge perception hardware and simulation environments.