Software Engineer Navigation - Future Forward Division

Intuitive • Sunnyvale, CA

21h

About The Position

Primary Function of Position: As a Software Engineer on the Future Forward Navigation team, you will develop innovative digital solutions to extend Intuitive’s robotic product lines. Collaborating with experts in robotics, imaging, and software, you will build medical image analysis and computer vision systems for novel robotic platforms. This role spans the entire development cycle—from prototyping approximate requirements to delivering high-quality production code. The ideal candidate is an independent problem-solver with a broad technical scope (robotics, ML, graphics) who learns quickly and thrives in a collaborative environment.

Requirements

• Bachelor’s degree in Computer Science, Biomedical Engineering, or a related field
• Minimum of 5 years of industry experience; or Master’s degree and 3 years of experience; or a PhD
• Academic or project experience with C++ (11/14/17+) and Python, exposure to system-level programming, memory management, and multi-threading for real-time applications
• Foundational knowledge in geometric computer vision (camera calibration, SLAM, registration, multi-view geometry) and deep learning (classification, tracking, mapping, transformers/CNNs)
• Familiarity with model optimization or deployment tools (e.g., TensorRT or similar)
• Clear communication skills and ability to explain technical work to a broader audience

Nice To Haves

• Coursework or project experience validating computer vision/ML models for medical applications
• Exposure to robotics, sensor data, kinematics, or coordinate transformations
• Experience with data pipelines (data curation, labeling, augmentation, synthetic data)
• Experience working with medical imaging modalities (Endoscopic video, Ultrasound, CT) or similar sensor data
• Familiarity with profiling/optimizing algorithm performance on CPU and GPU

Responsibilities

• Support the development of advanced computer vision and ML algorithms (segmentation, 3D reconstruction, object tracking) from proof-of-concept to deployment on resource-constrained embedded platforms
• Participate in building low-latency, real-time inference pipelines using C++ and CUDA to meet timing and accuracy requirements for surgical assistance
• Collaborate with designers, clinical engineers, and other software developers to translate approximate clinical needs into concrete technical requirements and verifiable software specifications
• Contribute to safety-critical software engineering practices, including failure mode analysis, hazard mitigation, and validation strategies for AI models

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level