AI Software Engineer - Security Screening & ML Systems

OSI Systems, Inc.; Torrance (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health plans

401(k) retirement plan

Employee Stock Purchase Program (ESPP)

Paid time off

Job summary

Rapiscan Systems is seeking an AI Software Engineer to support AI research and deploy detection technologies for security screening applications. The role combines on-site collaboration in Torrance, CA with remote work flexibility, focusing on turning experimental AI into production software across multiple inspection modalities.

The ideal candidate has a CS degree, 5+ years in Python and C++ on Windows/Linux, and experience with deep learning frameworks like TensorFlow/PyTorch, plus OpenCV or

Qualifications

• Bachelor's degree in computer science or closely related field required.
• 5+ years of relevant experience required.
• Strong in Python and C++ software development on Windows and Linux required.
• Experience deploying deep learning frameworks such as TensorFlow and PyTorch, image processing toolkits like OpenCV/MATLAB desirable.

Responsibilities

• Design, develop, and test software for automated detection algorithms across multiple inspection modalities.
• Develop and maintain algorithm APIs for deployment in products.
• Transition AI algorithms from experiments to released software products.
• Port legacy AI frameworks onto new compute platforms.
• Support data labeling, data analytics, and automated testing tools.
• Collaborate with team members and mentor junior engineers.

Skills

Python

C++

Linux

Windows

Deep learning

TensorFlow

PyTorch

OpenCV

MATLAB

Git

Docker

UI in Python

Education

Bachelor's Degree in Computer Science or closely related field

Tools

Git

Docker

Job description

Rapiscan Systems is seeking an AI Software Engineer to support AI research and deploy detection technologies for security screening applications. The role combines on-site collaboration in Torrance, CA with remote work flexibility, focusing on turning experimental AI into production software across multiple inspection modalities.

The ideal candidate has a CS degree, 5+ years in Python and C++ on Windows/Linux, and experience with deep learning frameworks like TensorFlow/PyTorch, plus OpenCV or