Spring/Summer 2026 Masters Machine Learning Performance Engineer Co-op

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. As an AMD 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. JOB DETAILS: Location: Santa Clara, CA, US Hybrid: This role requires the student to work full time (40 hours a week) from Santa Clara in a hybrid work structure throughout the duration of the co-op term. Duration: January 26, 2026 to August 7, 2026 WHAT YOU WILL BE DOING: You will enhance the open-source LLVM compiler for AMD GPUs by implementing optimization improvements. You will have a phenomenal opportunity to work closely with AMD's first-class Machine Learning and HPC applications to get the best performance from the LLVM compiler. We are seeking a highly motivated intern to join our ML Performance Profiling project, where we aim to uncover actionable insights from GPU performance data during deep learning workloads. In this role: You will collect and analyze profiling data from datacenter GPUs running various ML workloads. We will train you to develop repeatable methods using unsupervised learning, anomaly detection, and data visualization to extract performance insights. You will collaborate with developers to expand the capabilities of our internal profiling toolset. Your work will help make performance insights more accessible and impactful for users across AMD. WHO WE ARE LOOKING FOR: Currently enrolled in a Master’s program in Computer Science, Computer Engineering, or a related field. Passionate about understanding and improving the performance of AI models. Strong programming skills in Python, with experience in scientific computing, statistics, machine learning, and data visualization. Familiarity with collaborative software development practices and writing clean, maintainable code. Interest in learning about datacenter GPUs and their role in accelerating ML workloads. Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you. #LI-DNI 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.

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.

As an AMD 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. JOB DETAILS: Location: Santa Clara, CA, US Hybrid: This role requires the student to work full time (40 hours a week) from Santa Clara in a hybrid work structure throughout the duration of the co-op term. Duration: January 26, 2026 to August 7, 2026 WHAT YOU WILL BE DOING: You will enhance the open-source LLVM compiler for AMD GPUs by implementing optimization improvements. You will have a phenomenal opportunity to work closely with AMD's first-class Machine Learning and HPC applications to get the best performance from the LLVM compiler. We are seeking a highly motivated intern to join our ML Performance Profiling project, where we aim to uncover actionable insights from GPU performance data during deep learning workloads. In this role: You will collect and analyze profiling data from datacenter GPUs running various ML workloads. We will train you to develop repeatable methods using unsupervised learning, anomaly detection, and data visualization to extract performance insights. You will collaborate with developers to expand the capabilities of our internal profiling toolset. Your work will help make performance insights more accessible and impactful for users across AMD. WHO WE ARE LOOKING FOR: Currently enrolled in a Master’s program in Computer Science, Computer Engineering, or a related field. Passionate about understanding and improving the performance of AI models. Strong programming skills in Python, with experience in scientific computing, statistics, machine learning, and data visualization. Familiarity with collaborative software development practices and writing clean, maintainable code. Interest in learning about datacenter GPUs and their role in accelerating ML workloads. Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you. #LI-DNI