Imaging System Software Engineer
Santa Monica, CA

We are seeking an Imaging System Software Engineer for our client in Santa Monica, CA (90405). Experience with C++, Python, and imaging processing and devices are required.

The level of title will be determined case by case, based on the candidate’s qualifications and years of experience: senior engineer, staff engineer, principal engineer or higher.

The Engineer will design components and systems (hardware and software) as part of a complete product subjected to FDA regulations. Your design will be subject to safety and efficacy requirements

Required Qualifications and Abilities:

• • Bachelor’s, Master’s or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

• • Programming Languages: Strong proficiency in C++ and Python is essential.
  • Image Processing: Solid experience with image processing libraries such as OpenCV, VTK, ITK, or similar.
  • Imaging Devices: Experience working with industrial cameras, high-speed optical coherence tomography (OCT), and stereo vision systems.
  • Operating Systems: Proficiency in working with Linux is required, including system-level programming and real-time performance optimization.
  • Graphics Processing: Experience with GPU programming (CUDA, OpenCL) for accelerating image processing tasks.

• • 5+ years of hands-on experience in C++ software development with a focus on imaging systems or related fields.
  • Hands-on experience with imaging hardware (cameras, OCTs, etc.) and handling high-bandwidth image streams.
  • Proven ability to optimize software performance for image acquisition, processing, and rendering in real-time applications.
  • Experience with multithreading, multiprocessing, and low-latency communication between software components and hardware devices.

• • Deep understanding of object-oriented programming (OOP) principles and design patterns.
  • Strong grasp of algorithms for image processing, including feature extraction, filtering, segmentation, and real-time analysis. Familiarity with debayering, distortion correction, contrast-limited adaptive histogram equalization (CLAHE), etc.
  • Familiarity with image compression, optimization techniques, and large-scale image data management.
  • Experience with embedded systems and hardware/software integration for imaging devices.
  • Familiarity with software and system architecture formality like UML or SysML.
  • Proficiency with tools like Git/JIRA/Confluence and platforms like GitHub.

• • Strong analytical and problem-solving abilities, particularly in optimizing system performance.
  • Good communication skills to collaborate with interdisciplinary teams, including software engineers, electrical/mechanical engineers, and product managers.
  • Detail-oriented with the ability to manage multiple priorities and meet project deadlines.

• • Comfortable working hands-on with imaging hardware in a lab or clinical environment.
  • Ability to work on-site for hands-on software-hardware integration.

• • Design, develop, and maintain C++ code for imaging systems including cameras, OCTs, and other medical imaging devices on Linux platforms.
  • Implement efficient, scalable algorithms for image processing and data analysis.
  • Develop and optimize software to ensure the real-time acquisition, processing, and visualization of image data.

• • Collaborate with hardware engineers to integrate software with imaging devices, ensuring seamless performance in capturing and processing high-quality images.
  • Work closely with cross-functional teams to ensure alignment between hardware and software components in the imaging pipeline.

• • Profile, benchmark, and optimize image processing pipelines to maximize performance, ensuring low-latency, high-throughput processing on both CPU and GPU.
  • Develop strategies for efficiently handling large image datasets, balancing performance with memory and storage constraints.

• • Design and implement automated tests to ensure the stability and reliability of image processing software.
  • Debug complex issues related to hardware-software interfaces, and provide innovative solutions to technical challenges.
  • Ensure reliability and robustness of software through automated testing and performance monitoring.

• • Stay up to date with the latest trends and techniques in imaging technologies and software optimization.
  • Prototype and evaluate new algorithms and technologies to improve the performance and accuracy of our imaging systems.