Software Development Engineer, Automation / AI, eero
Amazon - Taipei City, TWN
Posted Jun 9, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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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
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Development Engineer, Automation / AI, eero Taipei City, TWN The Automation team at eero is seeking a Software Development Engineer who doesn't just use AI tools, but thinks AI-first when approaching problems. If you're a creative problem solver who reimagines what's possible when you combine automation with AI, moves fast, and gets excited about building tools that transform how engineering teams work this role is for you. You'll be at the forefront of designing and implementing next-generation automation solutions that enable rapid, reliable releases for our industry-leading home WiFi systems. This is an opportunity to work with new technologies, pioneer AI-native approaches to testing and automation, and see your innovations directly accelerate product velocity. Key job responsibilities - Design and build scalable automated test frameworks and tooling across multiple product lines. - Architect AI-powered solutions for intelligent test generation and predictive failure analysis. - Own and optimize AWS infrastructure supporting distributed test automation systems. - Lead front-end development for test monitoring and analytics platforms. - Drive CI/CD pipeline architecture improvements for performance and scalability. - Partner with engineering and QA organizations to define automation strategy and roadmaps. - Research and implement AI technologies to advance testing capabilities. A day in the life You might start your day reviewing test failure patterns from overnight runs, leveraging AI to rapidly triage and identify root causes and generate bug reports. After standup, you could work on improving test framework reliability, or debug a new React dashboard that visualizes test metrics for the
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