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
Linux embedded driver development engineer
Job Responsibilities
- Provide technical support to global customers, enabling them to better utilize Ambarella's solutions
- Driver development and software development related to video and audio in embedded Linux systems
- Responsible for developing, optimizing, and maintaining drivers and BSPs for Ambarella SoC chips, including USB, Ethernet, NAND/NOR, SD/EMMC, PCIe, etc
- Responsible for upgrading the Linux Kernel on the Ambarella platform, as well as evaluating and analyzing system performance.\
- Collaborate with other departments to complete software development and write technical documentation for clients and other departments
Job requirements:
- Bachelor's degree in computer or electronic-related majors, with a master's degree preferred
- Have a good understanding of basic knowledge of video and image, and have experience in using LCD, HDMI, MIPI CSI/DSI/LVDS interfaces
- Strong proficiency in ARM assembly/C language programming, familiar with Linux driver development and Makefile writing, with at least three years of relevant work experience
- Experience in embedded programming, such as long-term Uboot, Linux Kernel, or Yocto, is preferred
- Experience in hardware design is preferred
- Possess good oral and written English skills
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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