We are still hiring

We hope that through this challenging time, you and your family are staying safe and healthy. Though the COVID-19 pandemic is presenting unprecedented challenges, we continue to hire for our open positions. Our recruiting and hiring teams are taking prudent measures to minimize the spread of COVID-19 and still provide you with a great candidate experience. However, due to adjustments in work, life, and an increase in applications, we may start to experience some delays. Thank you for your patience and understanding.

To learn more about Intuitive’s response to COVID-19, see our company statement.

Computer Vision Software Engineer

Job Description

Job: Engineering
Primary Location: United States-California-Sunnyvale-US-CA-Sunnyvale
Schedule: Full-time
Requisition ID: 201206


Company Description:

Who is Intuitive Surgical? The numbers tell an amazing story. Learn more about our company.

Company Description:

Intuitive Surgical designs and manufactures state-of-the-art robot-assisted systems for use in minimally-invasive surgery. These systems are revolutionizing the way in which surgery is being done and offer a unique platform that is being used routinely at hospitals worldwide for exploring the potential of digital surgery. Joining Intuitive Surgical means joining a team dedicated to using technology to benefit patients by improving surgical efficacy and decreasing surgical invasiveness, with patient safety as our highest priority.

Primary Function of Position:

Primary Function of Position:

The Applied Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a research engineer with a focus on Computer Vision, Machine Learning and Software development, contributing to new technology development in the area of 3D scene understanding/reconstruction and spatial AI systems for next generation robotic surgery platforms. This role is an exciting opportunity to join a newly formed team and to contribute to its growth and it will give you an opportunity to test your knowledge in a challenging problem solving environment.


The successful candidate must excel in a high-energy, focused, small-team environment, and have a commitment to high quality research prototypes and concepts. A strong sense of shared responsibility and shared reward is required.

As part of the research team, immediate responsibilities include:

• Contribute to research projects that develop a variety of algorithms and systems in computer vision and machine learning.
• Participate in integration of new ML/CV algorithms into existing and future robotic platforms
• Participate in the development of prototype 3D recognition systems that scale to large clinical datasets
• Participate in the development of prototype dense 3D reconstruction systems based on multi-view image sensors
• Train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection
• Contribute to building new clinical datasets and data pipelines
• Support academic collaborations in related fields.


Skill/Job Requirements:

Competency Requirements: (Competency is based on: education, training, skills and experience).
In order to adequately perform the responsibilities of this position the individual must have:


• PhD preferred, or Master’s degree in computer science, electrical and computer engineering, with relevant industry experience in software development and CV/ML technologies

• Minimum of three (3) years of industry or research lab experience developing software for computer vision and machine learning applications.

• Strong understanding of machine learning: you should be familiar with the process of building effective learning systems (data collection, training, evaluation, and making iterative improvements)

• Strong hands-on experience with at least one of the main stream deep learning frameworks such TensorFlow, PyTorch, BLVC Caffe, Theano

• Strong hands-on experience with Python (proficiency), C/C++ (proficiency), Shell Script, Matlab

• Strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programming

• Ability to train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection

• Hands-on experience with GPU accelerated algorithms and implementations

• Excellent communication skills both written and verbal

• Interested in early phases of product exploration and iteration based on incomplete requirements

• Self-starter and able to work in a collaborative and results-oriented environment

• Able to view live and recorded surgical procedures.

We are an AA/EEO/Veterans/Disabled employer.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.