Staff Software Engineer - Vision - New Platforms

Qualifications

• Bachelor's degree or above in Computer Science, Electrical Engineering, Computer Engineering, or a similar technical field.
• A minimum of 12 years of experience developing and supporting embedded systems, with significant focus on video, imaging, or vision systems (or 8 years with a Master's degree, or 5 years with a PhD).
• Fluent in designing and developing mission-critical, cross-platform code in C/C++ for embedded, real-time, Linux-based systems, including application-level and driver-level development for multi-core and multi-processor architectures.
• Deep familiarity with integrating cameras, image sensors, and vision processing pipelines into complex embedded architectures, including hardware, software, and algorithm interfaces.
• Demonstrated ability to debug and diagnose complex vision system issues through root cause investigation and close cross-functional collaboration with hardware and algorithms teams.
• Demonstrated ability to evaluate design trade-offs for embedded software architectures through detailed technical deep dives, proof-of-concept development, and rapid iteration.
• Direct experience with imaging devices – e.g., cameras, light sensors, video/graphics hardware – including sensor and camera bring-up, configuration, and integration.
• Fluent 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 test.
• Demonstrated experience and comfort with all phases of the product development lifecycle, including design, documentation, implementation, debug, verification, validation, and transfer to manufacturing.
• Knowledge of image-processing, CUDA, ML, and/or FPGA integration (e.g., Vivado and other FPGA development tools).
• Familiarity with communication protocols such as TCP/IP, CAN, and serialization protocols.
• Experience designing software products in a regulated industry or for mission-critical applications; comfort with concepts of design input, design output, traceability, risk analysis, and mitigations.
• Leadership of medical technology projects from inception through field validation to launch; strong understanding of the medical product ecosystem.
• Familiarity with rapid development and rapid prototyping tools.
• Demonstrated capacity to relate to and mentor all levels of employees.