Software Engineer, Color, RIP & Imaging

Job Description
Role and Responsibilities
We are seeking a talented
Software Engineer – Color, RIP and Imaging
to develop next-generation image processing algorithms, color management pipelines, and visual computing software. The role combines color science and software engineering to improve image quality, color accuracy, and real-time visual performance across software and hardware platforms.

Key Responsibilities

• Algorithm Development: Design, implement, and optimize algorithms for color transformation, transparency, image processing, machine learning, and AI.
• Pipeline Integration: Develop and maintain end-to-end image processing and color management pipelines using technologies such as ICC profiles and OpenCV.
• Collaboration: Work closely with hardware, video, UI, engineering, QA, and marketing teams to deliver complete solutions.
• Performance Optimization: Develop high-performance, low-latency C/C++ or CUDA/OpenCL code for imaging pipelines running on CPU, GPU, or dedicated hardware.
• Testing & Calibration: Develop automated test suites, spectral measurement setups, and image quality metrics such as PSNR and Delta E to validate visual quality.

Minimum Qualifications

• Education: Bachelor’s degree in Computer Science, Color Science, Imaging Science, Electrical Engineering, Applied Mathematics, or a related technical field.
• Experience: 0–3 years of professional experience in digital image processing, computer vision, or graphics.
• Programming: Strong proficiency in C++ and Python, with hands-on experience in OpenCV, SciPy, or similar image processing libraries.
• Domain Knowledge: Understanding of color spaces, colorimetry, gamma correction, and rendering pipelines.

Preferred Qualifications

• Advanced Degree: Master’s degree or Ph.D. in Applied Mathematics, Color Science, Imaging Science, Computer Science, or Electrical Engineering. Candidates should complete their degree by January 2027.
• GPU Programming: Experience with CUDA, HLSL/GLSL, or Metal.
• Machine Learning: Familiarity with deep learning for image enhancement, super-resolution, or neural ISP using PyTorch or TensorFlow.

Desirable but not mandatory:

• Printing domain experience is a plus.
• Ability to work effectively in a matrix environment.
• Comfortable working with ambiguity.

What’s in it for you?

• Opportunity to work in a multinational product organization.
• Learn from experienced professionals and leaders.
• Exposure to the latest technology and tools.
• Accelerated career growth.
• Flexible and hybrid work environment with a healthy work-life balance.
• Culture of meritocracy, inclusion, empowerment, and fun.
• Competitive pay and benefits.