AI Graphics Engineer at EDGLRD

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.