Automotive Embedded System and 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
1. Software development on embedded system (familiar with RTOS, including ThreadX, QNX and GreenHills is a plus)
2. Computer vision and neural network development on embedded system
3. Device driver programming on RTOS or Linux (experience with device driver programming is a plus)
4. Project planning and execution, product specification discussion etc.
Job Requirements:
1. Fast learning curve
2. Good C programming and debugging skills
3. Familiar with software development on embedded system with RTOS or Linux
4. Device driver programming on RTOS or Linux (experience with device driver programming is a plus)
5. Studied on audio compression, USB, CANC and networking etc (Plus)
6. Experience on computer vision and automotive product development (Plus)
7. Experience on QNX and Greenhills (Plus)
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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