Sr Software Engineer, Applied AI and Test Automation - Camera Software

What you'll do

• Architect and launch camera validation systems from prototype through production, aligning QA, engineering, and lab infrastructure teams.
• Automate validation of camera capture flows and output, and build AI-assisted failure triage with evaluation harnesses.
• Improve test-suite reliability, measure automation impact, and mentor engineers through technical reviews and feedback.

What they ask for

• 8+ years of professional software engineering and architecture experience; 2+ years building and evaluating modern AI/ML and agentic technologies.
• Track record designing, building, debugging, and operating effective software test automation; knowledge of QA methodologies and test analytics or triage.
• Experience validating software against physical hardware and operating automated test execution at scale, including CI/CD pipelines and unattended infrastructure.
• Strong programming skills in at least one of Python, Swift, Objective-C, or C++; BS/MS/PhD in a related technical field, or equivalent work experience.

Nice to have

• Experience with agentic automation evaluation, multimodal AI and visual evaluation, or image/video processing.
• Experience testing Apple hardware, using XCTest/Swift or Python/pytest, or building robotic test rigs and controlled environments.

Pay

$184,700 and $324,800 (base pay range)

Tools

Python, Swift, Objective-C, C++, CI/CD, XCTest/Swift, Python/pytest

AI focus

Builds and evaluates agentic and multimodal AI systems for camera validation, visual evaluation, and test-failure triage.