7 hours ago
Base Salary
$190k - $322k/yr
Responsibilities
- Lead hardware, software, and algorithms architecture for real-time video processing, image sensing, and intra-body illumination systems.
- Integrate cameras, image sensors, FPGA/ISP components, video-processing pipelines, and software across multi-processor embedded architectures.
- Evaluate embedded vision architecture trade-offs through technical deep dives, proof-of-concept development, and rapid iteration.
- Lead camera and image-sensor bring-up, configuration, integration, and evaluation of video-processing algorithms.
- Diagnose vision-system issues from sensors and optics through video pipelines and software, leading root-cause investigations.
- Develop color and power-control functions for intra-operative illumination.
- Lead formal risk analyses, identify hardware requirements, and develop software mitigations.
- Design simulation environments and hardware/software diagnostic tools for development, debugging, and testing.
- Develop, document, verify, and validate embedded vision software and supervisory state machines in compliance with regulatory requirements.
- Extend video and vision processing frameworks to new hardware platforms.
- Mentor and guide engineers across the vision team.
Requirements
- Bachelor's degree or above in Computer Science, Electrical Engineering, Computer Engineering, or a similar technical field.
- At least 12 years of embedded-systems development and support experience with significant video, imaging, or vision focus, or 8 years with a master's degree or 5 years with a PhD.
- Fluency in C/C++ development for embedded, real-time, Linux-based systems, including application-level and driver-level work on multi-core and multi-processor architectures.
- Deep experience integrating cameras, image sensors, and vision-processing pipelines across hardware, software, and algorithm interfaces.
- Experience debugging complex vision systems through root-cause investigation and cross-functional collaboration.
- Experience with imaging devices, camera and sensor bring-up, configuration, and integration.
- Fluency with image-processing concepts, camera-pipeline video-processing algorithms, and video-processing frameworks.
- Working knowledge of Python or other scripting languages for diagnostics, automation, and testing.
- Experience across the product-development lifecycle, including design, documentation, implementation, debugging, verification, validation, and manufacturing transfer.
- Preferred knowledge of image processing, CUDA, machine learning, FPGA integration, Vivado, and other FPGA development tools.
- Preferred familiarity with TCP/IP, CAN, serialization protocols, rapid-development tools, regulated industries, medical technology, and mission-critical applications.
- Preferred experience leading medical-technology projects through field validation and launch, and mentoring employees at all levels.
Benefits
- Fully onsite, day-shift employee position.
- Market-competitive compensation package including base pay, incentives, benefits, and equity.
- Vaccination proof may be required depending on the role and customer requirements.
- Reasonable accommodations are available during the application and interview process.
About Intuitive
Intuitive designs and manufactures robotic-assisted systems for minimally invasive procedures used by hospitals and surgeons, including the da Vinci surgical system and the Ion endoluminal platform for lung biopsy. Its business model combines capital equipment sales with recurring revenue from instruments, accessories, software, and service/training contracts. Founded in 1995 and headquartered in Sunnyvale, California, Intuitive is publicly traded on NASDAQ (ISRG) and serves healthcare providers worldwide.