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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Mental health support

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Relocation assistance

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Childcare support

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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

Mid 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

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Where they hire

State eligibility is not yet verified.

About this role

Embedded Software Engineer Taipei | Hybrid | Remote EMBEDDED SOFTWARE ENGINEER We are seeking a 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 WILL WORK ON - Develop and maintain system-level and application-level software for NVIDIA Jetson devices - Implement and own OTA for our deployed device fleet - Write Python application code for device control, edge logic, monitoring, and data flows - Work with C/C++ components for performance-critical functionality - Integrate camera/video pipelines to capture, process, and analyze real-time video streams - Debug Linux systems involving multiple services, containers, and custom applications - Tune performance across the stack: kernel, services, containers, and user applications - Use Docker containers for packaging and deploying edge software components - Collaborate with hardware vendors to diagnose and resolve system-level issues - Work with backend/API teams to maintain reliable device-server communication QUALIFICATIONS

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