Camera pipeline experience, including multi‑camera systems, with familiarity in computational photography and HDR. Implement performance optimizations to accelerate algorithms on GPU and CPU processors. Translate proof‑of‑concepts into high‑quality, high‑performance imaging software deliverables. Collaborate with engineers, product managers, and stakeholders to define requirements and deliver robust software solutions. Work cross‑functionally with internal teams and external partners to achieve best‑in‑class performance. Thrive in a fast‑paced development environment; experience with Agile teamwork is a plus. Partner with SQA to enhance test setups, including hardware, software, and test automation environments.Follow best practices for source control, continuous integration, automated testing, and release management. Produce and maintain clear, useful documentation. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong emphasis on multimedia technologies, plus over five years of professional experience in imaging, system engineering, and application development.Strong programming experience in C or C++. Experience porting MATLAB code to C/C++. Experience accelerating C/C++ code on CPU processors using multithreading or SIMD instructions. Experience developing applications related to computer graphics, computer vision, image processing, and/or video processing. Linux development experience. Familiarity with Perforce or Git and Jira. Strong written and verbal communication skills. Experience accelerating C/C++ code on GPU processors using graphics programming languages such as OpenGL, Vulkan, or Direct3D. Experience developing and deploying machine learning algorithms in production environments.
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