Principal Embedded Software Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Principal From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Principal Embedded Software Engineer Taipei | Hybrid | Remote PRINCIPAL EMBEDDED SYSTEMS ENGINEER ABOUT THE COMPANY Overview.ai http://Overview.ai is transforming manufacturing quality control with advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks-from subtle assembly verification to defect detection and orientation checks-delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines. Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enables faster throughput, reduced scrap, and lower inspection costs-without the complexity and expense of traditional vision systems. ABOUT THE ROLE We are seeking a Principal Embedded Systems Software Engineer with strong Embedded Linux experience to join our engineering team. You will design, build, and maintain the software that powers our NVIDIA Jetson-based edge AI cameras - including Python application code, system services, OTA update mechanisms, networking, and device reliability. This is a hands-on engineering role focused on Linux systems and product software running on resource-constrained devices. You will not be working on MCU firmware or low-level hardware bring-up. Instead, you'll operate across the OS and application stack to ensure our camera systems are robust, secure, and easy to deploy at scale. If you enjoy building software for real hardware, solving complex debugging challenges, and owning features end-to-end, we would love to speak with you. WHAT YOU'LL DO - Develop and maintain system-level and application-level software for reliability in the field for our edge AI devices - Implement

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