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Lead Imaging Systems Engineer
2 months ago
At Intuitive, we are driven by our mission: we believe that minimally invasive care is transformative. Through innovation and smart technology, we enhance the capabilities of healthcare professionals to provide care without limitations.
As a leader in robotic-assisted surgery, we are dedicated to cultivating a diverse and inclusive workforce, committed to making a significant impact. For over 25 years, we have collaborated with healthcare institutions and teams globally to tackle some of the most challenging issues in healthcare and push the boundaries of what is achievable.
Intuitive thrives on the contributions of talented individuals from various backgrounds. We recognize that exceptional ideas can emerge from anywhere. We aim to create an inclusive environment that values diverse perspectives and mutual respect. We prioritize inclusion and empower our team members to perform at their best as their authentic selves.
Our culture is fueled by passionate individuals who aspire to make a difference. Our team members embody integrity, possess a strong ability to learn, exhibit the drive to accomplish tasks, and bring a wealth of real-world experiences that inspire innovative thinking. We actively invest in our team members to support their long-term development, enabling them to further our mission and reach their fullest potential.
Position Overview
Key Responsibilities:
The Vision Systems Analyst team operates within the Core Technology Engineering (CTE) division at Intuitive. The objective of this group is to ensure the highest quality of imaging for our surgeons across all daVinci robotic systems. The primary focus is on imaging algorithms, tuning, and calibration of endoscopes, displays, and illuminators essential for achieving outstanding image quality. Additionally, we assist in specifying and defining the light sources, optics, sensors, and displays utilized in daVinci robotic systems, as these components are critical to surgical image quality.
Essential Duties:
- Develop, implement, and enhance techniques and algorithms for characterizing and calibrating imaging sensors, optics, and cameras.
- Conduct image quality assessments for new features and algorithms through experimental evaluations, providing direct insights to engineering and clinical teams.
- Collaborate with external vendors for technology selection and iterative improvements.
- Ensure exceptional camera video quality for clinicians.
- Support formal risk assessments and documentation for regulatory submissions.
Required Skills:
- Master's or PhD in computer science, electrical engineering, imaging science, or a related field.
- A minimum of 3 years of professional experience in imaging.
- Knowledge and experience with cameras, displays, and illumination sources.
- Proven ability to solve complex engineering challenges.
- Experience in both subjective and objective image quality evaluation.
- Proficient in programming languages such as Matlab, Python, or C++.
Due to the nature of our business and the role, it may be necessary for Intuitive and/or its clients to require proof of vaccination against certain diseases, including COVID-19. Specific requirements may vary by role.
Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, prohibiting discrimination and harassment of any kind, regardless of 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 applicable laws.
We will consider qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in certain states.
We offer competitive compensation packages, including base salary, incentives, benefits, and equity. Actual compensation will be determined based on various factors, including experience, skills, and qualifications.
