Sr Machine Learning Engineer

Intuitive • Sunnyvale, CA

2d

About The Position

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surger y and minimally invasive care, our technologies like the da Vinci surgical system and Ion have transformed how care is delivered for millions of patients worldwide. Were a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive’s advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. As a Sr Machine Learning 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 8 years of industry experience; or Master’s degree and 6 years of experience; or a PhD and 3 years of experience, with a proven track record of shipping production-quality computer vision features to products
• Strong C++ (11/14/17+) and Python skills, with experience in system-level programming, memory management, and multi-threading for real-time applications
• Strong foundation in both geometric computer vision (camera calibration, SLAM, registration, multi-view geometry) and deep learning (classification, tracking, mapping, transformers/CNNs)
• Experience optimizing models for edge inference using TensorRT or similar hardware acceleration frameworks
• Excellent communication skills and ability to convey technical content to a broader audience

Nice To Haves

• Experience with validating computer vision models tailored to medical applications
• Robotics exposure and familiarity with sensor data, kinematics, and coordinate frame transformations
• Knowledge of medical device software standards (IEC 62304, ISO 14971) and experience supporting FDA regulatory submissions for AI/ML-enabled devices
• Experience constructing large-scale data pipelines, including learning strategies, synthetic data generation, and ground-truth labeling
• Demonstrated ability to work with medical imaging modalities (Endoscopic video, Ultrasound, CT) or similar sensor data
• Experience in profiling and optimizing algorithm performance on CPU and GPU

Responsibilities

• Lead the end-to-end development of advanced computer vision and ML algorithms (segmentation, 3D reconstruction, object tracking) from proof-of-concept to deployment on resource-constrained embedded platforms
• Architect low-latency, real-time inference pipelines using C++ and CUDA, ensuring algorithms meet strict timing and accuracy budgets 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
• Drive safety-critical software engineering practices, including failure mode analysis, hazard mitigation, and validation strategies for AI models
• Mentor junior engineers and define best practices for code quality and architectural patterns within a distributed robotic system

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees