Computer Vision Engineer

What you'll do

• Develop and implement advanced video processing and computer vision algorithms from concept to production deployment.
• Define system-level architecture for hardware and software requirements in collaboration with cross-functional teams.
• Optimize algorithm performance under memory, compute, power, and bandwidth constraints on mobile/embedded platforms.
• Write technical documentation and design specifications to guide internal teams and external partners effectively.
• Provide mentorship and guidance to engineers across experience levels within the organization.
• Influence key product, architecture, and organizational decisions through significant technical expertise.

What we're looking for

• Strong background in computer vision and video processing algorithms.
• Experience with real-time computer vision systems or embedded AI deployment.
• Hands-on experience with modern deep learning architectures.
• Solid understanding of SoC architecture and hardware/software interfaces.
• Proficient coding skills in Python, C/C++, and ML/CV frameworks like PyTorch, TensorFlow.
• Ability to work across algorithm, software, and hardware boundaries.
• Experience using performance profiling tools and hardware simulators.