System Software Engineer

AI Vision Processors For Edge Applications

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Job Responsibilities:

• Support domestic customers in product research and development by actively participating in project implementation, specifically focused on the development and implementation of audio, video, and AI-related products based on embedded platforms.
• Provide technical support for Ambarella's embedded platform, including identifying issues, optimizing solutions, and ensuring the stability of audio and video capture, encoding, and transmission processes.
• Handle the deployment, migration, and performance tuning of AI models, such as CNN and Transformer, on embedded devices, with the goal of enhancing inference speed and resource utilization on the edge.
• Engage in technical pre-research related to computer vision, robotics, and other relevant fields. Assist customers in validating schemes, developing demos, and conducting joint debugging to facilitate productization and implementation.
• Collaborate with client R&D teams to deliver technical solutions and address key technical challenges encountered during embedded development, system integration, and network deployment.

Job Requirements:

Bachelor's degree or higher in Electronic Information, Automation, Computer Science, or related fields.

Strong C/C++ development skills with practical experience in embedded or Linux project development.

Familiarity with Linux and other Unix-like operating systems, along with proficiency in development skills such as multithreading, network programming, and interprocess communication.

Experience in developing embedded ARM SoC platforms and a solid understanding of embedded system architecture, drivers, and application development processes.

Knowledge of the principles and processes related to audio and video capture, encoding, and decoding, as well as an understanding of common image sensors and audio/video processing workflows.

Familiarity with machine learning and computer vision algorithms, including CNN, Transformer, and Visual Language Models (VLM), and proficiency in at least one deep learning framework (such as PyTorch).

Open-minded with strong communication and expression skills, good customer interface awareness, and a collaborative team spirit.

Ability to conduct basic oral communication in English and read English documents fluently.