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Overview

Test Automation Engineer

RemoteTaiwan only
Published
Role
QA
Experience
Senior
Employment
Full-time
Company size
Startup
Salary not disclosed
Check eligibility

Open to TW only. Set where you work from to check your eligibility.

No BS summary

Senior or Staff-level test automation engineer with 5+ years in test automation, SDET, or software engineering. Must be strong in Python, CI/CD test pipelines, NVIDIA Jetson or embedded Linux, HIL/device-lab automation, industrial protocols, and hardware I/O. Taiwan-only remote role.

Core skills

PythonCI/CDHardware-in-the-Loop

Required skills

GitHub Actions/Jenkins/GitLab CINVIDIA JetsonEmbedded LinuxPLCEtherNet/IPDigital I/OHDMI

Optional skills

OpenCV

What you'll do

  • Own the nightly E2E system by designing, building, and operating fully automated end-to-end pipelines that run nightly against main and beta branches.
  • Drive synthetic video into real NVIDIA Jetson devices, trigger on-device inference, and validate inference results through PLC and physical outputs.
  • Own CI/CD test orchestration and release gating across the regular release cadence and code-freeze week.
  • Build detection, quarantine, triage, reporting, and observability to keep a large automated test suite reliable, parallelized, deterministic, and fast.
  • Build and operate the shared physical test capability, including environmental chamber, device testbed, hardware lab, and HIL infrastructure.
  • Simulate factory conditions and stress-test real camera systems under real-world compute, memory, and thermal constraints.
  • Own automated tests that validate the physical signal path before a unit ships, including PLC communication, digital I/O, and HDMI/display outputs.
  • Own production and build bring-up automation that verifies every device against spec.
  • Provide frameworks, fixtures, harnesses, and device pools that squad SDETs build their tests on.
  • Debug nightly run failures across physical hardware, custom baseboards, Linux OS kernels, local network protocols, and edge Docker containers.
  • Turn system-level failures into durable automated regression guards.

What they require

  • 5+ years in test automation, SDET, or software engineering, with a proven track record of owning an automated test system end-to-end at a Senior or Staff level.
  • Expert proficiency in Python for building automation frameworks, device-interaction tooling, and test harnesses.
  • Deep hands-on experience with CI/CD systems, building test pipelines and release gates, not just consuming them.
  • Demonstrated track record of keeping large automated test suites reliable, including flaky-test management, parallelization, deterministic fixtures, and test observability.
  • Hands-on experience with the NVIDIA Jetson ecosystem or similar resource-constrained embedded Linux systems.
  • Hands-on experience with Hardware-in-the-Loop or physical device-lab automation.
  • Hands-on experience with industrial automation and industrial network protocols and hardware I/O.
  • Professional experience with, or a strong passion for, using AI agent tools to architect solutions and solve difficult technical problems efficiently.
  • Excellent problem-solving skills with an independent ownership mindset.
  • Ability to confidently navigate ambiguity in a hardware-software co-design environment.
  • Preferred: Experience validating computer vision applications or real-time video processing streams.
  • Preferred: Experience building test dashboards or observability for suite health and release readiness.
  • Preferred: Experience managing device farms or lab automation at scale.

Benefits

  • High agency and zero bureaucracy.
  • Senior engineer role with ownership to define test architecture, pick tools, and decide how products are validated.
  • High autonomy and ownership over the test system the entire company ships against.
  • Support for using AI agents to automate work and solve problems.
  • Work measured by leverage rather than hours.
  • Opportunity to join a fast-growing, fast-moving, profitable startup.

Overview builds edge-deployed AI vision systems that automate quality inspection on factory production lines. Its self-contained camera units capture images, run deep learning inference in real time, and drive pass/fail decisions directly to industrial PLCs, with no cloud required. It ships an integrated hardware, software, and AI product into manufacturing environments across North America and China.

Industrial AIStartup

Details

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Salary not disclosed