We are seeking a Computer Vision / 3D Tracking Engineer to join our multidisciplinary R&D team. In this role, you will lead the development of advanced tracking solutions for robotic-assisted knee arthroplasty (TKA). You will work closely with system engineers, roboticists, software and hardware engineers, clinical experts, and regulatory specialists to create a high-accuracy, real-time tracking system that integrates seamlessly into the surgical environment.

Key Responsibilities

• Algorithm Development

o   Design and implement real-time vision algorithms (e.g., point cloud processing and registration, pose estimation, 6D tracking).

o   Explore and prototype innovative methods to account for anatomical structures, adapting pre-op imaging to intra-op conditions.

o   Document results to enable decision making and secure algorithm knowledge.

• Sensor Integration

o   Evaluate, select, and integrate depth sensors (e.g., structured light, Time-of-Flight, stereo cameras) or multi-modal systems (e.g., near-infrared or ultrasound) to capture surgical site geometry or anatomical structures.

o   Ensure robust calibration and synchronization of multiple sensors if needed.

• Software & Hardware System Architecture

o   Develop and maintain code in a real-time environment, ensuring modularity, scalability, and reliability (e.g., C++/Python with GPU acceleration where appropriate).

o   Collaborate with product, system, and hardware teams to integrate sensors within the system.

• Testing & Validation

o   Define and execute test plans for accuracy, reliability, and performance of the tracking system using synthetic, phantom and cadaveric data.

o   Document results to support risk management, regulatory filings, and product development milestones.

• Collaboration & Cross-Functional Work

o   Partner with mechanical and electronics engineers to finalize sensor mounting and enclosure designs suitable for sterilization and operating room constraints.

o   Work closely with clinical specialists to translate surgeon feedback into technological improvements and user interface enhancements.

• Regulatory & Quality Compliance

o   Follow medical device development standards (ISO 13485, IEC 62304, etc.) where applicable.

o   Contribute to risk analysis (FMEA) and design controls in collaboration with the system and regulatory teams.

Required Qualifications

• Education & Experience

o   Bachelor’s or master’s degree in computer science, Electrical Engineering, Robotics, or a related field (Ph.D. is a plus).

o   5+ years of hands-on experience in computer vision, 3D geometry, integration with robotics in the medical field.

• Technical Skills

o   Proficiency in 3D vision algorithms (object pose estimation, features extraction, optical flow, SLAM).

o   Strong coding skills in C++ and Python, plus familiarity with libraries like OpenCV, Open3D or equivalent.

o   Experience with at least one deep-learning or LLM framework (e.g., PyTorch, TensorFlow) for vision tasks is highly desirable.

o   Knowledge of GPU programming (CUDA) or parallelization frameworks is a plus.

• Domain Knowledge

o   Familiarity with real-time systems, embedded software, or surgical/medical device environments is advantageous.

o   Basic understanding of medical imaging modalities (CT, MRI) and 3D reconstruction workflows.

Preferred (Nice-to-Have) Skills

• Experience working in medical device development under quality management systems.

• Exposure to regulatory environments (FDA, CE marking) and associated documentation.

• Clinical Knowledge of orthopedic surgery.

• Background in signal processing for ultrasound, near-infrared, or other imaging modalities.

• Simulation or augmented reality frameworks for testing or visualization

Soft Skills & Attributes

• Passionate about state-of-the-art technologies, with excellent presentation skills combining clarity, rigor, and a pedagogical approach to facilitate decision-making in cross-functional collaboration, including with non-technical stakeholders.

• Strong problem-solving mindset; able to propose creative solutions to complex challenges.

• High level of organization and attention to detail, especially around documentation and version control.

• Team spirit: comfortable working in a dynamic, fast-paced R&D environment with shifting priorities.

• Technical interview by Team Lead, CTO + case study

• Interview with team lead for mindset/team fit (+ other relevant stakeholders).

• HR interview