Optical Imaging Systems Engineer: Edge AI & Reliability

SafetySpect, Inc; Los Angeles (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

SafetySpect, Inc is seeking a hands-on Systems Integration & Reliability Engineer to join our multidisciplinary team in Los Angeles, CA, developing advanced optical sensing and imaging systems for healthcare applications. You will transform R&D prototypes into robust, reliable systems for clinical validation, owning the integration, verification, and field readiness of complex electromechanical platforms.

Strong knowledge of optics, embedded electronics, edge AI, and BOM management is essential,

Qualifications

• BS or MS in Electrical Engineering or related field.
• 3+ years hands-on experience integrating electromechanical or medical-device systems.
• Strong electronics, sensors, embedded systems, and hardware/software integration knowledge.
• Ability to troubleshoot hardware and software across disciplines.

Responsibilities

• Own assembly, integration, configuration, and testing of imaging and sensing systems.
• Integrate optical components, cameras, sensors, electronics, and embedded computing.
• Configure edge AI/edge computing hardware and software.
• Troubleshoot system-level electronics, software, firmware, optical, and mechanical issues.
• Root-cause investigations with cross-functional teams and implement solutions.

Skills

Systems integration

Edge AI

Troubleshooting

Python

C/C++

Education

Bachelor's degree in Electrical Engineering

Master's degree in Biomedical Engineering

Tools

Oscilloscopes

Multimeters

Power supplies

Diagnostic software

Job description

SafetySpect, Inc is seeking a hands-on Systems Integration & Reliability Engineer to join our multidisciplinary team in Los Angeles, CA, developing advanced optical sensing and imaging systems for healthcare applications. You will transform R&D prototypes into robust, reliable systems for clinical validation, owning the integration, verification, and field readiness of complex electromechanical platforms.

Strong knowledge of optics, embedded electronics, edge AI, and BOM management is essential,