Software Engineer - Embedded Systems (NVIDIA Jetson Platform)

Job Summary

We are seeking a highly skilled Software Engineer with expertise in embedded systems, computer vision, and real-time surgical applications on the NVIDIA Jetson platform. This role involves integrating advanced imaging modalities (e.g., microscope, ultrasound) and building end-to-end solutions for intraoperative navigation in surgical fields.

Key Responsibilities

• Design and optimize real-time neuro-navigation software on NVIDIA Jetson platforms (e.g., AGX Orin, Xavier)
• Implement, integrate, and optimize existing computer vision, sensor fusion, and deep learning algorithms and models.
• Integrate the system with intraoperative hardware such as surgical microscopes, ultrasound, and external tracking systems (e.g., optical or electromagnetic) via APIs and frame grabbers
• Maintain modular architecture for calibration, data registration, and basic user interface interactions
• Interface software with medical imaging and tracking hardware via USB, Ethernet, and GPIO.
• Perform performance optimization using CUDA, TensorRT, JetPack, and debugging/testing with limited real surgical data
• Perform unit testing, real-time debugging, and validation with synthetic and real surgical data.
• Support documentation in line with IEC 62304 and ISO 13485 under supervision.

Requirements

• Bachelors or Masters degree in Software Engineering, Computer Science, or a related field.
• 3+ years of experience in embedded systems, preferably in a medical device or robotics environment.
• Embedded systems expertise (Jetson, JetPack SDK).
• Experience integrating medical imaging and tracking hardware.
• Proficiency in C++, Python, CUDA, Linux.

Qualifications

• Experience with neuro-navigation or surgical robotics (preferred, clearly secondary).
• Familiarity with medical imaging libraries (e.g., ITK/VTK).
• Exposure (not expertise) to medical regulatory standards.

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