From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture. Join our innovative team at AMD as an AI Models Software Engineer. We are seeking passionate individuals who are dedicated tooptimizing, accelerating, and applying AI models.

As a member of our dynamic team, you will have the chance to shape the future of AI model development and make a significant impact in various industries and applications. We are looking for a candidate who is deeply passionate about AI models and possesses strong engineering skills to tackle complex challenges. You should have experience in optimizing and accelerating NLP/Generative AI models.

As an AI Models Software Engineer, you will: Drive Innovation: Work on cutting-edge projects and collaborate with a team of highly skilled industry specialists. Push the boundaries of AI model optimization and application and contribute to the advancement of AI technology.

Optimize AI Models: Leverage quantization, sparsity, and architecture search methods to optimize and enhance the performance, efficiency, and accuracy of Generative AI models. Unlock the full potential of AI technology and enable groundbreaking solutions.

Collaborate with Experts: Collaborate closely with software engineers, data scientists, and researchers to integrate AI models into software applications and platforms. Learn from the best in the field and work together to achieve seamless integration and optimal performance.

Stay Ahead of the Curve: Stay updated with the latest advancements in AI algorithms, frameworks, and technologies. Continuously explore new techniques and approaches to stay at the forefront of AI model development and optimization. You will have access to cutting-edgetechnology, training programs,



mentorship opportunities, and a clear career progression path.

If you are passionate about AI models and possessthe skills to drive innovation and optimization, we invite you to join our team at AMD. Research, design, and implement novel methods for efficient Generative AI training and inference Algorithmic modeloptimization and training methods design includingquantization, sparsity, innovative parallelism strategies etc. Project experiences ongenerativetasks.

Experience working with linear scaling of large language models and training at scale Project experiences on model compression, quantization, and end-to-end inference optimization. Strong knowledge of artificial intelligence, deeplearningor machine learning. Strong coding skills in Python required, C/C++ skills a plus. Skilled in academic paper writing and technical innovation. LLMs, Large Multi-modal models, stable diffusion, or text-to-video generation.

ACADEMIC CREDENTIALS: ~ A PhD or master’s degree in artificial intelligence, machine learning, or a related field. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

📌 AI Models Software Development Engineer (Markham)
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📍 Markham