Lead Imaging Engineer (AI)

Location: Hsinchu, Taiwan

Company

hirify.global develops computer peripherals and video-capable hardware supported by software, with a focus on user experience, collaboration, and sustainable design.

What you will do

• Develop and tune imaging and video solutions for webcams and other video-capable devices.
• Improve color processing pipelines, including defective pixel correction, color interpolation, gamma, denoising, sharpness, brightness, contrast, and saturation.
• Develop and optimize automatic camera feedback loops such as Auto Exposure, Auto White Balance, Auto Focus, and Auto Scene Detection.
• Create algorithms for noise reduction, detail retention, facial enhancement, computational photography, computer vision, AI, and deep learning.
• Implement, optimize, and debug image and video processing algorithms on ISP hardware, GPUs, NPUs, and multicore CPUs.
• Collaborate with engineering teams to balance product cost, performance, and user experience.

Requirements

• MS in Computer Science or equivalent, with 10+ years of relevant experience in multimedia or image processing.
• Knowledge of optics, image sensors, ISPs, image quality tuning, color science, and digital video.
• Experience with camera image processing, ISP pipeline development, 3A algorithms, image enhancement, HDR, color gamuts, dynamic range, and computational photography.
• Hands-on experience implementing and optimizing algorithms in embedded systems and working with ISP hardware, GPUs, NPUs, multicore CPUs, Linux, and RTOS environments.
• Proficiency in OpenCV, deep learning, MATLAB, GPU programming, Imatest, C, C++, and Python.
• Familiarity with imaging standards and certification, including Rec.709, BT.2020, Microsoft Teams, Zoom, VCX, and SPIE.

Nice to have

• Experience using deep learning for ISP algorithms such as demosaicing, noise reduction, and super-resolution.
• Experience evaluating objective image quality in laboratory environments and subjective image quality in real-world user scenarios.

Culture & Benefits

• Collaborative environment focused on openness, continuous learning, experimentation, and practical decision-making.
• Flexible work environments and a hybrid model, depending on the team and department.
• Comprehensive benefits packages that vary by location.
• Support for physical, financial, emotional, intellectual, and social wellbeing.