2 months 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 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 end-to-end vision-system issues across sensors, optics, video pipelines, and software, and lead root-cause investigations.
- Develop color and power-control functions for intra-operative illumination systems.
- Lead risk analyses, identify hardware requirements, and develop software mitigations for vision and illumination subsystems.
- Design simulation environments, diagnostic tools, embedded vision software, supervisory state machines, and verification activities.
- Extend video and vision-processing frameworks to new hardware platforms while complying with regulatory and internal requirements.
- 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; alternatively, 8 years with a master's degree or 5 years with a PhD.
- Fluency designing and developing mission-critical cross-platform C/C++ for embedded, real-time, Linux-based systems, including application- and driver-level development.
- Deep experience integrating cameras, image sensors, vision-processing pipelines, and hardware, software, and algorithm interfaces.
- Experience debugging complex vision systems through root-cause investigation and cross-functional collaboration.
- Direct experience with imaging devices, camera and sensor bring-up, configuration, and integration.
- Fluency with image-processing concepts, camera-pipeline algorithms, and video-processing frameworks.
- Working knowledge of Python or other scripting languages for diagnostics, automation, and testing.
- Experience across the product lifecycle, 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 or mission-critical product development, medical-technology leadership, rapid prototyping, and mentoring experience.
Benefits
- Fully onsite, day-shift employee position.
- Market-competitive compensation package including base pay, incentives, benefits, and equity.
- The role may be filled at a different job level depending on business needs and the candidate's experience, knowledge, and skills.
- Vaccination proof may be required depending on the role and customer requirements.
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.