Summer 2026 Long Term AI Solutions Tech Marketing Intern/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 intern, 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: Ottawa, ON, Canada
• Onsite/Hybrid: This role requires the student to work full time 37.5 hrs a week, either in a hybrid or onsite work structure throughout the duration of the co-op/intern term.
• Duration: May 2026 to August 2027

What You Will Be Doing
We are seeking highly motivated AI Technical Marketing Engineering intern/co-op to join our team. In this role, you will -

• Support in building and modifying AI demo applications that showcase AMD's unique capabilities in edge and embedded AI.
• Run performance benchmarks and present results to the field and customers
• Develop and run tests to measure system level KPIs, using performance tools, for different applications.
• Work with AMD's Vitis AI toolchain to compile and deploy AI models on AMD evaluation boards and embedded systems.
• Run AI model inference using frameworks such as PyTorch, TensorFlow, and ONNX,
• Resolve customer challenges involving AI model deployment on AMD platforms, including Vitis AI toolchain, ONNX conversion, FPGA (programmable logic), AI engines, and CPUs.
• Document best practices in AMD AECG documentation and GitHub
• Develop training and marketing material for AMD AECG Field people

Who We Are Looking For

• You are currently enrolled in a Canada based University in a Bachelors or Master's degree program majoring in Computer Engineering, Electrical Engineering, Computer Science or related discipline
• Hands-on experience with AI frameworks such as PyTorch, TensorFlow, and ONNX.
• Familiarity with hardware-accelerated computation and heterogeneous computing architectures (FPGAs, NPUs, CPUs, and GPUs) is a plus
• Knowledge of model optimization, quantization, or pruning for deployment on embedded systems is highly desirable.
• Basic understanding of Vitis AI or any FPGA/AI toolchain is an advantage.
• Proficient with programming languages such as Python, C++, or similar
• Desire to be hands on with AMD AECG tools, devices, boards and software
• Strong written and verbal communication skills
• Proven ability in writing application notes, white papers & customer presentations
• Must have the ability to work in a fast-paced environment as part of a collaborative team across multiple geographies to creatively solve challenging problems

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.