Lead/Sr. SDET Engineer

【Role Overview】

We are seeking a Senior SDET to take technical ownership of quality architecture for our high-performance Physical AI Vision Platforms. This role focuses on edge AI cameras, localized inference engines, and low-latency video processing pipelines based on the NVIDIA Jetson ecosystem.

You will design and maintain automated testing frameworks that ensure the reliability of mission-critical hardware and embedded software. Operating at the intersection of Embedded Linux, Dockerized Edge Apps, and AIoT, you will define the quality strategy for devices deployed in rigorous industrial environments.

【Key Responsibilities】

• End-to-End Automation: Design programmatic E2E test flows that simulate real-world inputs (synthetic video), trigger edge inference, and validate web app functionality.

• Edge Architecture: Build robust automation frameworks from scratch using Python, specifically targeting embedded systems and edge AI devices.

• Web & API Testing: Develop automated UI and API test suites for the local interfaces and web applications used to configure and monitor our vision systems.

• Hardware-in-the-Loop (HIL): Build and scale HIL infrastructure to stress-test physical camera systems under real-world compute, memory, and thermal constraints.

• System Debugging: Investigate complex failures across hardware baseboards, Linux kernels, network protocols (RTSP/TCP/IP), and Docker containers.

【What We Are Looking For】

• Experience: 4+ years as an SDET, Embedded Test Engineer, or Software Engineer with a track record of senior-level project ownership.

• Embedded Systems: Hands-on experience with the NVIDIA Jetson ecosystem or similar resource-constrained Embedded Linux systems.

• Python Expert: Highly proficient in Python for building automation frameworks and CI/CD integrations.

• Web Automation: Proven experience testing web applications and APIs using modern frameworks (e.g., Playwright, Cypress, or Selenium).

• AIoT Knowledge: Deep experience with edge device testing, network protocols, and a passion for utilizing AI tools to solve technical problems.

• Ownership: An independent mindset capable of navigating ambiguity in a hardware-software co-design environment and willing to be a leader. 

【Nice to Have】

• Experience validating Computer Vision (OpenCV) or real-time video streams.

• Background in Industrial Automation or protocols (PLC, EtherNet/IP, Modbus).