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Sr. System Software Engineer

Ambarella • Processors, MCUs & AI Chips • Machine Vision & 3D Cameras • Bachelor's Degree • Python • C++ • 4 months ago

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Salary

≈ $35k – $97k per year (Estimated)

Location

In office (Shanghai)

Seniority

Senior · 3+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Jun 26, 2026. Ambarella scores B on the Alion truth index.

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Ambarella

Ambarella's advanced imaging solutions make cameras smarter by extracting valuable data from high-resolution video streams.

ambarella.com • Shanghai • Shenzhen • Hsinchu • Machine Vision & 3D Cameras • Processors, MCUs & AI Chips

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.