Software Engineer (Sys) - Part-time (Onsite: Sunnyvale, CA) W2 Only

• 6 Month contract opportunity - W2 (No C2C)
• Onsite: 1266 Kifer Road, Bldg 100, Sunnyvale, Ca, 94086

Intuitive Surgical, in cooperation with our recruitment partner Raise, are hiring. We’re a global technology leader in minimally invasive care and a pioneer of robotic-assisted surgery. Working closely with hospital teams, we’re developing integrated solutions that help enable physicians to get patients back to what matters most. Our technology has been used in nearly 10 million operations across 67 countries.

Together, we’ve dedicated more than two decades for innovating for better care through enhanced experiences, improved efficiencies, and reduced cost of care. In this role, you will join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients.

What We Are Looking For:

The Future Forward Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a Software Engineer with focus on Deep Learning Data Pipelines, contributing to new technology development for next-generation robot-assisted surgery platforms. This role is an exciting opportunity to join a newly formed team and 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 strong sense of shared responsibility and reward.

Software Engineer (Systems):

• Designs, develops, troubleshoots and debugs software programs for enhancements and new products.
• Develops software and tools in support of design, infrastructure and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, cloud-based and Internet-related tools.
• Determines hardware compatibility and/or influences hardware design.

Key Responsibilities:

• Maintain, test, and develop software for Data Pipelines throughout the lifecycle (collection, processing, annotation, training, storage, mining, and analytics).
• Maintain Deep Learning databases and cloud storage solutions.
• Provide technical support on Data Pipelines to internal users and external partners.
• Set up and test software and hardware for new data collection systems.
• Manage and maintain Deep Learning servers.
• Train and benchmark AI models.

Experience and Abilities:

• Bachelor's degree in computer science, electrical and computer engineering, or related fields with minimum (3) years industry experience.
• Excellent communication skills both written and verbal.
• Strong programming skills with industry experience in developing production software.
• Proficient in Python (Numpy, SciPy, Pandas, PyTorch), SQL, and Shell Script.
• Hands-on experience with AWS Cloud solutions.
• Experience working with image and video datasets (OpenCV, FFmpeg).
• Familiar with Data Science algorithms (regression, classical Machine Learning algorithms, Deep Learning).
• Familiar with GPU accelerated algorithms and implementations.
• Familiar with vision hardware (RGB cameras, time-of-flight sensors).
• Able to view live and recorded surgical procedures.

Please note that this is a contract role providing services to Intuitive through our direct sourcing partner, Raise who manages Intuitive’s Contractor Talent Community. If you are selected for this role, you will be employed by Raise and will not be an employee of Intuitive.

Work with an Award Winning Employer:

• Best Places to Work, Glassdoor Employees’ Choice, 2019 (#12 of 100), 2020 (#7 of 100)
• America’s Best Midsized Employers, Forbes, 2019 (#149 of 500)
• Top 150 Places to Work in Healthcare, Becker’s Hospital Review, 2019
• Top CEOs, Glassdoor, 2019 (#9 of 100)

Raise and Intuitive are Equal Employment Opportunity Employers. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment all qualified applicants with arrest and conviction records in accordance with fair chance laws.

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