8 hours ago
Base Salary
$190k - $322k/yr
Responsibilities
- Lead hardware, software, and algorithms architecture for real-time video processing, image sensors, and intra-body illumination systems.
- Integrate cameras, image sensors, FPGA/ISP components, and vision-processing pipelines into multi-processor embedded architectures.
- Evaluate embedded vision software architecture trade-offs through technical deep dives, proof-of-concept development, and rapid iteration.
- Lead camera and image-sensor bring-up and evaluate advanced camera-pipeline video-processing algorithms.
- Diagnose and debug vision systems end-to-end across sensors, optics, video pipelines, and software.
- Develop illumination control functions, conduct subsystem risk analyses, and create software mitigations for potential failures.
- 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 software 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 designing and developing mission-critical cross-platform C/C++ code for embedded, real-time, Linux-based systems.
- Experience with application-level and driver-level development for multi-core and multi-processor architectures.
- Deep familiarity integrating cameras, image sensors, vision-processing pipelines, hardware, software, and algorithm interfaces.
- Experience diagnosing complex vision-system issues through root-cause investigation and cross-functional collaboration.
- Direct experience with cameras, light sensors, video or graphics hardware, 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 product development activities including design, documentation, implementation, debugging, verification, validation, and manufacturing transfer.
- Preferred qualifications include CUDA, ML, FPGA integration, Vivado or other FPGA tools, TCP/IP, CAN, serialization protocols, regulated-industry or mission-critical product development, rapid prototyping, and medical technology project leadership.
- Ability to mentor employees at all levels.
Benefits
- Fully onsite, day-shift position.
- Market-competitive compensation package including base pay, incentives, benefits, and equity.
- Proof of vaccination against certain diseases may be required depending on the role.
- 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.