Deskripsi Pekerjaan
Are you a passionate developer looking to bridge the gap between advanced robotics and patient care? The National University Health System (NUHS) is seeking a visionary Senior Assistant Manager (Software Developer) to join our Artificial Intelligence Office. In this pivotal role, you will be at the forefront of healthcare innovation, designing, coding, and optimizing software ecosystems for our cutting-edge Nurse Companion Robots.
As part of a multidisciplinary team, you will influence how technology interacts with clinical environments, improving workflows and patient outcomes. We are looking for a full-stack expert who is comfortable working with both high-level application logic and low-level robotics integration. If you thrive in a dynamic, research-driven environment and are eager to shape the future of medical technology in Singapore, we want to hear from you.
Tanggung Jawab
- Architect and implement robust full-stack software solutions for Nurse Companion Robots.
- Develop and integrate ROS (Robot Operating System) nodes to facilitate hardware communication and sensor data processing.
- Collaborate with clinicians and AI researchers to translate operational requirements into functional robotic behaviors.
- Conduct rigorous testing and debugging to ensure high reliability and safety standards in clinical settings.
- Optimize software performance and power consumption to enhance the operational longevity of robotic units.
- Maintain comprehensive documentation of software architectures, APIs, and deployment pipelines.
- Mentor junior developers and participate in code reviews to ensure industry-standard software quality.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- Minimum 4-6 years of experience in full-stack software development, preferably in robotics or embedded systems.
- Proficiency in C++ and Python is essential, particularly for robotics applications.
- Experience with ROS/ROS2, OpenCV, and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of software design patterns, multi-threading, and hardware-software integration.
- Familiarity with cloud-based infrastructure and edge computing is highly advantageous.
- Proven ability to work effectively in cross-functional, agile teams within a healthcare or research context.