Sr. System Software 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
Responsibilities
- Software development and troubleshooting, including issues related to ARM drivers, audio/video capture, audio/video encoding, AI engines, and related areas. Products include network cameras, ADAS, robotics, and other AI projects based on Linux.
- Based in Shanghai. Provide technical support to customers for network cameras, ADAS, robotics, AI Box, and similar products, including remote and on-site support. Offer technical consulting, training, and end-to-end project support from evaluation and project kickoff through mass production.
- Communicate with customers to understand product requirements and project status. Help customers analyze issues quickly, optimize systems and algorithms, and deliver timely solutions.
Requirements
- Bachelor’s or Master’s degree in electronics or a related field, with 3+ years of relevant work experience.
- Solid C/C++ software development skills with hands-on development experience.
- Ability to read hardware schematics; basic hardware knowledge and embedded systems experience, such as ARM-based development.
- Familiarity with common peripherals on embedded processors (e.g., ARM), including I2C, SPI, MIPI, UART, USB, PCI, Ethernet, GPIO, CAN, Flash, DDR, etc. Knowledge of related communication protocols is a plus.
- Familiarity with Linux as a real-time operating system; experience with Linux kernel and driver development.
- Experience with audio and video capture and encoding (e.g., AAC, OPUS, H.264, H.265, etc.); familiarity with multimedia frameworks such as GStreamer.
- Knowledge of neural networks, machine vision, or related areas is a plus (e.g., CNN, VLM, VLA, SLAM, ROS).
- Basic knowledge of bash and Python scripting, image sensors, and fundamental image/video concepts.
- Experience with mainstream AI SoC platforms is preferred.
- Strong English reading and writing skills are preferred.
- Outgoing personality, strong communication skills, and good teamwork.
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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