Software Engineer (Computer Vision, Robotics)

About Us

At Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting-edge AI and autonomous systems. We believe that the best solutions are built together, and we are looking for a key member to join our collaborative R&D team.

We are seeking a highly motivated and skilled engineer to join our team in developing next-generation patient monitoring systems. This role is at the intersection of computer vision, signal processing, and high-performance software engineering. You will be responsible for building the core analytical engine that transforms raw depth-sensor video into actionable health information.

This is not a purely theoretical position. You will be hands-on, designing algorithms that are efficient enough for real-time applications and robust enough for real-world clinical use. You will write the production-level Python code that brings these algorithms to life on cutting-edge edge computing platforms.

If you are a problem-solver who thrives on analyzing complex sensor data and building tangible, high-performance systems, we want to hear from you.

• Develop and implement real-time computer vision algorithms in Python to detect, track, and analyze regions of interest from video data (specifically depth sensors).
• Design and build signal processing pipelines to extract, filter, and interpret physiological movement data from sensor signals.
• Optimize algorithms for performance to meet strict real-time processing requirements.
• Deploy and validate analysis software on edge computing platforms with GPU acceleration (e.g., NVIDIA Jetson).
• Collaborate in a multidisciplinary team to integrate your solutions into a complete monitoring product.
• Rigorously test, debug, and document your code and algorithms.
  

• Strong proficiency in Python and experience writing clean, efficient, and maintainable code.
• Solid foundation in computer vision principles and hands-on experience with libraries like OpenCV.
• Solid foundation in digital signal processing (e.g., filtering, time-series analysis, feature extraction) and experience with libraries like SciPy or NumPy.
• B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, Biomedical Engineering, or a related technical field.
• Demonstrable experience in analyzing imaging or sensor data to solve complex problems.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
  

• Experience with high-performance edge computing platforms (e.g., NVIDIA Jetson).
• Familiarity with GPU programming (e.g., CUDA, TensorRT) for accelerating algorithms.
• A background in robotics, autonomous vehicles, or real-time analysis of sensor data (e.g., LiDAR, RADAR, IMU).
• Experience with depth sensors, 3D data processing, or point cloud analysis.
• Knowledge of machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow) for vision or time-series tasks.
• Familiarity with software development best practices (e.g., Git, unit testing, CI/CD).