QA Engineer
About this role
AI Vision Processors For Edge Applications
Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.
Job Description
Responsibility:
Responsible for the company's product optical performance parameters, image processing quality, sensor, camera performance testing related work, as well as image debugging tool function testing Cooperate with development engineers to complete sensor image debugging, optimization, and other tasks, proficiently set up and select test scenarios, and assist development engineers in verifying and solving image quality and effect issues Execute test cases (indoor, outdoor, and other multi-scenario shooting), evaluate image quality effects, provide feedback on testing issues, and cooperate with development engineers to verify and solve problems Work closely with software and hardware departments to optimize the final image effect and meet customer product requirements (add relevant test cases for customer product application scenarios) Analyze the output image quality, provide test reports, and actively cooperate and solve verification issues during the testing process Participate in the recording of promotional videos and engage in image-related exhibition work at various exhibitions
Requirement:
1. Full-time bachelor's degree or above, majoring in computer science, automation, or electronics
2. Familiar with the Linux system and capable of writing test code using Linux scripts or other scripts
3. Possess a certain theoretical foundation in CCD/CMOS image acquisition, 3A (AF/AE/AWB), HDR (wide dynamic range), noise, low illumination, color reproduction, etc. (Prior experience in mobile phone and camera image testing is preferred)
4. Passionate about technical details, sensitive to software defects, and able to adhere to one's own position and viewpoint
5. Possess a spirit of team collaboration and emphasize communication skills
6. Possess excellent abilities in autonomous learning and independent problem-solving through analysis
7. Those who have a passion for photography are preferred
Company at a glance
With an installed base of more than 42 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy.
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