Role overview
**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.
About the Role
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.
What we're looking for
* 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.
Required Qualifications
* 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).