Staff ML Engineer — Surgical AI & Real-Time Perception

Intuitive; Sunnyvale (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Intuitive is seeking a Staff Machine Learning Engineer in Sunnyvale to lead the design of perception and scene understanding for the da Vinci platform. You will drive deep learning for surgical imagery in real time and integrate clinical information to support workflow.

You will own the model lifecycle from research to production, optimize for real-time constraints, and collaborate with surgeons and systems teams to meet regulatory and reliability requirements.

Qualifications

• Experience building ML models for real-time medical imaging.
• Experience in productionizing models for embedded platforms.
• Collaborative in cross-functional teams.

Responsibilities

• Design, train, and evaluate deep learning models for semantic understanding of surgical scenes.
• Develop probabilistic spatial modeling and 3D scene reasoning.
• Ensure real-time performance on embedded robotic platforms.
• Own end-to-end model lifecycle from research to production.
• Collaborate with surgeons and engineers to meet clinical requirements.
• Mentor junior engineers and researchers.
• Contribute to IP through invention disclosures.
• Define evaluation metrics for regulatory submissions.

Skills

Deep learning

Endoscopic imaging

Real-time inference

C++

ONNX/TensorRT

Model deployment

Leadership/mentoring

Tools

TensorRT

ONNX

Embedded systems

Job description

Intuitive is seeking a Staff Machine Learning Engineer in Sunnyvale to lead the design of perception and scene understanding for the da Vinci platform. You will drive deep learning for surgical imagery in real time and integrate clinical information to support workflow.

You will own the model lifecycle from research to production, optimize for real-time constraints, and collaborate with surgeons and systems teams to meet regulatory and reliability requirements.