Job Description
Join us to build Classical CV and NNISP acceleration pipelines on CVflow, and improve system performance and efficiency.
We are looking for engineers passionate about embedded systems and computer vision — fresh graduates and experienced candidates are welcome.
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About the Team
We are the CV Accelerator team within the DSP department,focused on delivering high-performance edge-side computer vision processing on Ambarella’s proprietary CVflow™ architecture.
Our work targets real-world applications requiring low latency, low power, and real-time performance at the edge.
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What You’ll Do
• Port and optimize classical (non-neural-network) computer vision algorithms onto CVflow (e.g., image processing, filtering, optical flow, radar/LiDAR point cloud processing)
• Perform NNISP model porting for neural network–based ISP pipelines
• Develop efficient implementations on:
NVP (Neural Vector Processor)
GVP (General Vector Processor)
• Optimize compute performance and memory efficiency
• Ensure real-time performance on edge hardware platforms
• Leverage modern AI-assisted coding tools to improve productivity
• Collaborate with cross-functional teams (algorithm / system / hardware)
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Why Join Us
• Work on edge AI / computer vision acceleration hardware (CVflow)
• Gain experience in both classical CV and NNISP pipelines
• Tackle real-world performance-critical systems
• Grow into an expert in edge computer vision and hardware-aware optimization
• Be part of a team using modern, high-productivity development workflows
Preferred Qualifications
• Familiarity with embedded systems (ARM-based)
• Understanding of multithreading (Linux or RTOS)
• Experience in debugging and performance optimization
• Background in image processing or computer vision is a strong plus
• Familiarity with Python or deep learning frameworks (e.g., PyTorch) is a plus, especially for NNISP-related development
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Nice to Have
• Experience with edge AI or computer vision pipelines
• Exposure to hardware accelerators, SIMD, or vector processing
• Experience with AI-assisted coding tools (e.g., Cursor or similar)
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Experience Level
• Fresh graduates are welcome
• Candidates with relevant experience are preferred
Skills Required
- Fresh graduate or relevant engineering experience
- Familiarity with ARM-based embedded systems
- Understanding of multithreading on Linux or RTOS
- Experience with debugging and performance optimization
- Background in image processing or computer vision
- Familiarity with Python or deep learning frameworks such as PyTorch
- Experience with edge AI or computer vision pipelines
- Exposure to hardware accelerators, SIMD, or vector processing
- Experience with AI-assisted coding tools such as Cursor
What We Do
Ambarella (Nasdaq: AMBA) is a leading developer of visual AI products. Our technologies enable a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power system on chips (SoCs) offer high-resolution video compression, advanced image processing, and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com
