Singapore Role overview
About this role
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
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- AI-intrinsic CPU/GPU Product Development with Design-Test-Manufacturing Co-optimization
WHAT YOU CAN EXPECT TO LEARN:
- The internship offers an opportunity for individuals to immerse themselves in the cutting-edge world of Artificial Intelligence (AI) and Data Science (DS). Interns will gain firsthand exposure to state-of-the-art (SOTA) techniques, models, and frameworks employed in industry-leading AI and DS practices. This experience will be invaluable in understanding how these tools drive innovation, efficiency, and precision in solving complex problems across diverse applications.
- Interns will develop a deep understanding of the semiconductor industry across multiple functional units within the company, gaining insights into how the most advanced AMD CPU/GPU products are designed, rigorously tested, and manufactured. They will also explore the end-to-end lifecycle of AI and data oriented software solution development, learning to apply industry best practices in architecture, implementation, and deployment. This comprehensive experience will equip interns with the knowledge and skills to deliver impactful, end-to-end solutions that align with the dynamic needs of a rapidly evolving industry.
PROJECT OVERVIEW:
Developing end-to-end AI and Data-centric software solution for enhancing the operational efficiency of AMD CPU/GPU product development.
KEY RESPONSIBILITIES:
- Working with subject matter experts & stakeholders to resolve the domain-specific problems that impact AMD business with operational efficiency enhancement.
- Creating data science and AI models and/or solutions for tackling the issues in the domain-specific use cases for potential uplift of key business metrics compared to the convention.
- Practicing the software engineering best practices, e.g., CI/CD, MLOps, etc., in developing and deploying the analytical and AI models into the cloud-based production environment.
- Collaborating with the platform engineering team, data engineering team, and IT team for refining and adopting the data-specific workloads that support the data-centric applications with AI and data science capabilities.
WHO ARE WE LOOKING FOR:
A self-driven individual with the willingness to work on direct operational and engineering problems and solve them with AI and data science solutions, passionate about applying pragmatical practices into the real-world industrial problems, (bonus) having experience in full-stack software solution development, large-scale ML system development, MLOps, and generative AI.
RELEVANT SKILLSETS:
Basic requirements
- Python (Pandas, Plotly, Scikit, Flask), SQL, REST API development.
Advanced requirements
- CI/CD, MLOps, Kubernetes.
- UI/UX, ReactJS, Angular, Vue.
- LLM, Agentic AI framework, SKILL-based development.
Training will be provided for these items wherever needed, but interns should have basic Python coding experience and basic AI/ML and data science modeling knowledge (project work in the past would be beneficial.
ACADEMIC CREDENTIALS:
Pursuing a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
#LI-SP
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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Qualifications
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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Responsibilities
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- AI-intrinsic CPU/GPU Product Development with Design-Test-Manufacturing Co-optimization
WHAT YOU CAN EXPECT TO LEARN:
- The internship offers an opportunity for individuals to immerse themselves in the cutting-edge world of Artificial Intelligence (AI) and Data Science (DS). Interns will gain firsthand exposure to state-of-the-art (SOTA) techniques, models, and frameworks employed in industry-leading AI and DS practices. This experience will be invaluable in understanding how these tools drive innovation, efficiency, and precision in solving complex problems across diverse applications.
- Interns will develop a deep understanding of the semiconductor industry across multiple functional units within the company, gaining insights into how the most advanced AMD CPU/GPU products are designed, rigorously tested, and manufactured. They will also explore the end-to-end lifecycle of AI and data oriented software solution development, learning to apply industry best practices in architecture, implementation, and deployment. This comprehensive experience will equip interns with the knowledge and skills to deliver impactful, end-to-end solutions that align with the dynamic needs of a rapidly evolving industry.
PROJECT OVERVIEW:
Developing end-to-end AI and Data-centric software solution for enhancing the operational efficiency of AMD CPU/GPU product development.
KEY RESPONSIBILITIES:
- Working with subject matter experts & stakeholders to resolve the domain-specific problems that impact AMD business with operational efficiency enhancement.
- Creating data science and AI models and/or solutions for tackling the issues in the domain-specific use cases for potential uplift of key business metrics compared to the convention.
- Practicing the software engineering best practices, e.g., CI/CD, MLOps, etc., in developing and deploying the analytical and AI models into the cloud-based production environment.
- Collaborating with the platform engineering team, data engineering team, and IT team for refining and adopting the data-specific workloads that support the data-centric applications with AI and data science capabilities.
WHO ARE WE LOOKING FOR:
A self-driven individual with the willingness to work on direct operational and engineering problems and solve them with AI and data science solutions, passionate about applying pragmatical practices into the real-world industrial problems, (bonus) having experience in full-stack software solution development, large-scale ML system development, MLOps, and generative AI.
RELEVANT SKILLSETS:
Basic requirements
- Python (Pandas, Plotly, Scikit, Flask), SQL, REST API development.
Advanced requirements
- CI/CD, MLOps, Kubernetes.
- UI/UX, ReactJS, Angular, Vue.
- LLM, Agentic AI framework, SKILL-based development.
Training will be provided for these items wherever needed, but interns should have basic Python coding experience and basic AI/ML and data science modeling knowledge (project work in the past would be beneficial.
ACADEMIC CREDENTIALS:
Pursuing a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
#LI-SP
San Jose, United States