Algorithm Engineer

Overview Rapiscan Systems is an industry leader in detection technology, providing cargo and vehicle inspection systems and services for ports, borders, military, high-threat facilities, and checkpoints to help customers combat terrorism, drug smuggling, illegal immigration, and trade fraud. We offer a broad array of scanning system configurations that leverage low-, medium-, and high-energy X-ray technology—or multiple X-ray technologies—to address each customer’s unique security application requirements. Our commitment to excellence in imaging performance, innovative design, and uncompromising quality ensures our solutions consistently deliver best-in-class imaging, high reliability, and operator satisfaction, to help customers find threats and contraband with ease and confidence. Our Algorithm Development team is looking for Algorithm Engineers to develop a new software product for the biosecurity sector. This position provides an opportunity to develop automated algorithms as part of the delivery of a software platform for high performance imaging systems in a variety of applications. Responsibilities Design and implement biosecurity algorithms for x-ray CT machines. Develop leading image quality, automated segmentation and classification algorithms based on analysis of x-ray images (single, dual and multi-energy multi-view transmission, backscatter, Computed Tomography, etc.) to meet real-time system performance requirements. Test, integrate and deploy the programs to systems. Participate with the software and system teams to develop strategies and design approaches around the analysis of images, processing and production. Uphold the Company’s core values of Integrity, Innovation, Accountability, and Teamwork. Demonstrate behavior consistent with the Company’s Code of Ethics and Conduct. It is the responsibility of every Rapiscan Systems employee to report to their manager or a member of senior management any quality problems or defects in order for corrective action to be implemented and to avoid recurrence of the problem. Duties may be modified or assigned at any time to meet the needs of the business. Qualifications PhD Degree in Computer Science, Electrical Engineering, Physics or closely related degree. Equivalent industrial experience is also welcome. Experience with some of the following: computer vision, object detection, deep learning, point cloud registration, image segmentation. Minimum 2 years of working experience with deep learning frameworks (e.g. TensorFlow, pytorch), image processing development toolkits (e.g. OpenCV, Matlab). Experience in image analysis, signal processing and target recognition for security, medical applications or related field preferred. Strong in Python and C++ software development on Windows and Linux. Self-motivation and enthusiasm for problem solving. Strong analytical and problem-solving skills. Strong verbal and written communication skills. OSI Systems, Inc. has three operating divisions: (a) Security, providing security and inspection systems, turnkey security screening solutions and related services; (b) Healthcare, providing patient monitoring, diagnostic cardiology and anesthesia systems; and (c) Optoelectronics and Manufacturing, providing specialized electronic components and electronic manufacturing services for original equipment manufacturers with applications in the defense, aerospace, medical and industrial markets, among others.