AI Graphics Engineer

3 weeks ago


Doral, United States Edglrd Full time

As an AI Graphics Engineer at EDGLRD, you will play a pivotal role in developing and implementing advanced AI-driven solutions for general GPU compute, 3D graphics, and video manipulation. You will work closely with cross-functional teams to design, optimize, and deploy innovative algorithms and systems that push the boundaries of visual computing.

Key Responsibilities

Research, design, and develop AI-based algorithms and techniques for graphics generation, rendering, and manipulation.

Collaborate with software engineers, machine learning specialists, and designers to integrate AI technologies into graphic design tools and platforms.

Optimize algorithms for performance, scalability, and efficiency, considering constraints such as computational resources and real-time processing requirements.

Stay updated on the latest advancements in AI, computer graphics, and related fields, and apply cutting-edge techniques to enhance our products and solutions.

Conduct experiments, analyze results, and iterate on algorithms to continuously improve the quality and capabilities of our AI-driven graphics technologies.

Work closely with product management and stakeholders to understand requirements, prioritize tasks, and deliver high-quality solutions that meet user needs and business objectives.

Provide technical guidance and support to junior team members, fostering a collaborative and innovative work environment.

Required Skills

Solid understanding of computer graphics principles, including rendering techniques, shaders, and image processing algorithms.

Proficiency in programming languages commonly used in graphics development, such as C++, Python, and OpenGL/Vulkan.

Excellent problem-solving skills and a passion for innovation, creativity, and pushing the boundaries of technology.

Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, interdisciplinary team environment.

Experience and Qualifications

Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field AND/OR,

Professional or project experience demonstrating advanced knowledge in the related fields.

Experience with developing and optimizing algorithms for graphics processing units (GPUs) and other hardware accelerators.

Bonus

Strong background in artificial intelligence and machine learning, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and related libraries.

Prior experience in computer vision, computational photography, or related fields.

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