System-On-Chip Failure Diagnostic and Debug Intern

As an AMD [intern/co-op], you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. LOCATION: Singapore CRITERIA: Current students studying in Universities which are based in Singapore INTERNSHIP DURATION: The internship will begin on either 4 Jan 2027, and will end on 28 May 2027. There is an option to extend the internship, with the extended period concluding on a fixed date of 6 Aug 2027. Intern- System-On-Chip Failure Diagnostic and Debug WHAT YOU CAN EXPECT TO LEARN: This internship offers a unique platform for learning and growth. You will gain hands-on experience in failure analysis and root cause identification using advanced diagnostic tools and technologies, enhancing your critical thinking and problem-solving skills. You will also learn from experienced engineers and participate in cross-functional projects, broadening your understanding of the electronics industry. PROJECT OVERVIEW: As an intern in our Returns Debug team, you will have the unique opportunity to initiate and lead a comprehensive study on the electrical failures of system-on-chip. This hands-on role will provide you with invaluable experience in the electronics field, focusing on understanding failure conditions, identifying root causes, and developing preventative measures. KEY RESPONSIBILITIES: • Conduct detailed analysis of duplicated electrical failures in system-on-chip. • Utilize diagnostic tools and methodologies to understand the conditions under which failures occur. • Identify root causes of failures through systematic investigation. • Develop and propose prevention strategies to mitigate future failures. • Collaborate with senior engineers and cross-functional teams to gather insights and validate findings. • Document findings and present recommendations to stakeholders. WHO ARE WE LOOKING FOR: We are looking for passionate and driven interns to join our team in investigating the critical issue of electrical failure in system-on-chip. The ideal candidate is self-driven, motivated to achieve goals independently, and eager to learn new skills. They are resourceful, finding creative solutions to challenges, and passionate about leveraging technology. With a positive attitude, they remain optimistic and hardworking, dedicated to success. They enjoy teamwork, contribute to a positive environment, and are adaptable to change. Strong communication skills are essential, along with a proactive approach to problem-solving. RELEVANT SKILLSETS: • Strong analytical and problem-solving abilities. • Excellent communication and teamwork skills. • A proactive and inquisitive mindset with a passion for learning. ACADEMIC CREDENTIALS: • Currently, pursuing a degree in Electrical or Electronic Engineering, Computer Engineering, Science Computing, or related engineering study in the semiconductor field. #LI-SP As an AMD [intern/co-op], you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. LOCATION: Singapore CRITERIA: Current students studying in Universities which are based in Singapore INTERNSHIP DURATION: The internship will begin on either 4 Jan 2027, and will end on 28 May 2027. There is an option to extend the internship, with the extended period concluding on a fixed date of 6 Aug 2027. Intern- System-On-Chip Failure Diagnostic and Debug WHAT YOU CAN EXPECT TO LEARN: This internship offers a unique platform for learning and growth. You will gain hands-on experience in failure analysis and root cause identification using advanced diagnostic tools and technologies, enhancing your critical thinking and problem-solving skills. You will also learn from experienced engineers and participate in cross-functional projects, broadening your understanding of the electronics industry. PROJECT OVERVIEW: As an intern in our Returns Debug team, you will have the unique opportunity to initiate and lead a comprehensive study on the electrical failures of system-on-chip. This hands-on role will provide you with invaluable experience in the electronics field, focusing on understanding failure conditions, identifying root causes, and developing preventative measures. KEY RESPONSIBILITIES: • Conduct detailed analysis of duplicated electrical failures in system-on-chip. • Utilize diagnostic tools and methodologies to understand the conditions under which failures occur. • Identify root causes of failures through systematic investigation. • Develop and propose prevention strategies to mitigate future failures. • Collaborate with senior engineers and cross-functional teams to gather insights and validate findings. • Document findings and present recommendations to stakeholders. WHO ARE WE LOOKING FOR: We are looking for passionate and driven interns to join our team in investigating the critical issue of electrical failure in system-on-chip. The ideal candidate is self-driven, motivated to achieve goals independently, and eager to learn new skills. They are resourceful, finding creative solutions to challenges, and passionate about leveraging technology. With a positive attitude, they remain optimistic and hardworking, dedicated to success. They enjoy teamwork, contribute to a positive environment, and are adaptable to change. Strong communication skills are essential, along with a proactive approach to problem-solving. RELEVANT SKILLSETS: • Strong analytical and problem-solving abilities. • Excellent communication and teamwork skills. • A proactive and inquisitive mindset with a passion for learning. ACADEMIC CREDENTIALS: • Currently, pursuing a degree in Electrical or Electronic Engineering, Computer Engineering, Science Computing, or related engineering study in the semiconductor field. #LI-SP