System Software Engineer (Imaging) – Senior/Staff/Prinicipal

California

Data Engineering

Permanent

Our client, an AI-driven company focused on revolutionizing the healthcare industry, are hiring an Imaging System Software Engineer to join the team onsite in California. The successful candidate will play a key role in enhancing the company’s imaging systems, with the goal of improving patient care.

Responsibilities

As the Imaging System Software Engineer, you will design, develop and maintain C++ software for imaging systems on Linux platforms.
You will implement scalable and efficient algorithms for image processing and data analysis.
Create and optimize software to facilitate real-time acquisition, processing and visualization of image data.
Work closely with hardware engineers to integrate software with imaging devices, ensuring smooth performance in capturing and processing high-quality images.
Liaise with cross-functional teams to ensure that hardware and software components in the imaging pipeline are well-aligned.
Profile, benchmark and optimize image processing pipelines to maximize performance, achieving low-latency and high-throughput processing on both CPU and GPU.
Develop strategies for managing large image datasets effectively, balancing performance with memory and storage limitations.
Design and implement automated tests to ensure the reliability and stability of image processing software.
Stay current with the latest trends and advancements in imaging technologies and software optimization.
Prototype and assess new algorithms and technologies to enhance the performance and accuracy of imaging systems.

Skillset

PhD or Master’s degree in Computer Science, Engineering or similar.
Minimum of five years of hands-on experience in C++ software development, specifically in imaging systems.
Strong proficiency in C++ and Python.
Solid experience with image processing libraries such as OpenCV, VTK, ITK.
Familiarity with industrial cameras, high-speed optical coherence tomography (OCT) and stereo vision systems.
Proficient in Linux, including system-level programming and real-time performance optimization.
Experience in GPU programming (CUDA, OpenCL) to accelerate image processing tasks.
Knowledge of multithreading, multiprocessing, and low-latency communication between software components and hardware devices.
Deep understanding of object-oriented programming (OOP) principles and design patterns.
Strong knowledge of algorithms for image processing, including feature extraction, filtering, segmentation, and real-time analysis.
Experience with embedded systems and hardware/software integration for imaging devices.