WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world.
Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges.
We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance THE ROLE : As an AI / ML Methodology and Tools Design Engineer, you will work with experts in CAD and Methodology to accelerate the use of ML / AI solutions in the Physical Design (PD) flow.
You will evaluate and deploy AI / ML EDA tools and features, develop internal predictive and generative AI solutions to improve productivity and design quality.
THE PERSON : You have a passion for physical design implementation on cutting edge process technology. You have strong analytical, problem-solving, and data analysis skills and are willing to take on challenging problems and come up with novel solutions.
You are a team player who has excellent communication skills. KEY RESPONSIBILITIES : Accelerate the use of Machine Learning / AI in Physical Design and CAD flow Evaluate and deploy ML / AI EDA tools and features in the design flow Develop internal ML / AI solutions to improve productivity and design quality Support and collaborate with the design teams to enable AI / ML solutions PREFERRED EXPERIENCE : Experience in PD implementation (Synthesis, Placement, CTS, Route) and tools Experience and familiarity with ML / AI concepts and frameworks (Python, Pandas, scikit-learn, deep learning libraries), including developing and deploying ML applications Experience and familiarity with generative AI and LLM libraries, prompting and knowledge retrieval (RAG), ReAct Agents Experience with data analysis and visualization using Python Strong programming and scripting skills with Python Strong analytical skills and mathematical modeling ACADEMIC CREDENTIALS : Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or Computer Science LOCATION : Markham, Ontario #LI-DD3 #LI-HYBRID Benefits offered are described : AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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.
THE ROLE : As an AI / ML Methodology and Tools Design Engineer, you will work with experts in CAD and Methodology to accelerate the use of ML / AI solutions in the Physical Design (PD) flow.
You will evaluate and deploy AI / ML EDA tools and features, develop internal predictive and generative AI solutions to improve productivity and design quality.
THE PERSON : You have a passion for physical design implementation on cutting edge process technology. You have strong analytical, problem-solving, and data analysis skills and are willing to take on challenging problems and come up with novel solutions.
You are a team player who has excellent communication skills. KEY RESPONSIBILITIES : Accelerate the use of Machine Learning / AI in Physical Design and CAD flow Evaluate and deploy ML / AI EDA tools and features in the design flow Develop internal ML / AI solutions to improve productivity and design quality Support and collaborate with the design teams to enable AI / ML solutions PREFERRED EXPERIENCE : Experience in PD implementation (Synthesis, Placement, CTS, Route) and tools Experience and familiarity with ML / AI concepts and frameworks (Python, Pandas, scikit-learn, deep learning libraries), including developing and deploying ML applications Experience and familiarity with generative AI and LLM libraries, prompting and knowledge retrieval (RAG), ReAct Agents Experience with data analysis and visualization using Python Strong programming and scripting skills with Python Strong analytical skills and mathematical modeling ACADEMIC CREDENTIALS : Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or Computer Science LOCATION : Markham, Ontario #LI-DD3 #LI-HYBRIDBenefits offered are described : AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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.