Senior AI Software Development Engineer

• Serve as a senior technical contributor, helping define system architecture, development standards, and best practices
• Provide mentorship and technical guidance to other engineers through design discussions, code reviews, and knowledge sharing
• Assist in the development of artificial intelligence models, algorithms, and systems tailored to specific project goals and requirements
• Collaborate effectively with cross-functional teams, including product managers, researchers, hardware engineers, and software developers to support the development of comprehensive AI solutions
• Learn and adapt to new techniques and methodologies to enhance product performance and develop new features
• Optimize machine learning models for efficient deployment on AMD hardware and software platforms
• Contribute to the process of monitoring the performance of deployed models, maintenance and updates, and troubleshooting any related issues
• Stay current on the latest advancements in the fields of AI and machine learning, collaborating closely with colleagues to foster a culture of innovation

• Demonstrated experience delivering complex AI or software systems and influencing technical direction within a team
• Strong understanding of AI/ML concepts and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, and probabilistic graphical models
• Familiarity with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and Scikit-learn
• Proficient in programming languages such as Python, C++, and Java, with a strong focus on maintainable, high-quality production code
• Familiarity with AMD's hardware (GPU, CPU, and APU) and software (ROCm, OpenCL, HIP) platforms is a plus, but not required
• Strong analytical, problem-solving, and critical-thinking skills, with the ability to balance hands-on development with broader technical ownership
• Excellent written and verbal communication skills, with the ability to effectively communicate complex concepts to a diverse audience
• Bachelor’s or Master’s degree in Computer Science, Computer/Software Engineering or related technical discipline

Familiarity with AMD's hardware (GPU, CPU, and APU) and software (ROCm, OpenCL, HIP) platforms