Low-Latency Video Development Manager
4 days ago
Salary: $200,000 - $280,000 per year
About the Company:
Intuitive is a leader in the development of robotic-assisted surgery systems. Our team is dedicated to creating innovative solutions that improve patient outcomes and surgeon experiences.
Job Description:
This role involves leading a team responsible for delivering real-time, high-definition stereo surgical video with the best possible image quality for use in surgical procedures. The team collaborates closely with other departments, including FPGA, Electrical Engineering, Mechanical Engineering, New Product Development, Manufacturing Engineering, and Clinical Engineering.
As a senior manager, you will oversee the definition of product requirements, software implementation, and final verification testing. Your expertise will ensure that customer needs, patient safety, and product quality are met. Key responsibilities include managing a team focused on delivering low-latency, color-accurate video to all displays, including the 3D surgical viewer.
Key Responsibilities:
- Develop and implement strategies to improve video quality and reduce latency.
- Collaborate with cross-functional teams to develop and integrate software components.
- Ensure that software meets regulatory requirements and industry standards.
- Oversee the development and maintenance of automated testing frameworks.
Qualifications:
- Minimum BS (MS or PhD preferred) in computer science, electrical engineering, physics, or related engineering discipline.
- Minimum 12 years of industry experience developing C/C++ software for Linux-based embedded systems.
- Strong understanding of digital signal processing and image processing techniques.
- Excellent communication and project management skills.
Preferred Qualifications:
- Experience with display technologies, display calibration, and colorimetry.
- Knowledge of software drivers for FPGA-based display interfaces (HDMI, DP, etc).
- Experience with imaging devices and technology, e.g., image sensors, color sensors, video/graphics hardware.
- Knowledge of image-processing, CUDA, and/or FPGA integration.
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