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 As a Co-op student, you can make an immediate contribution to AMD's next generation of technology innovations.
We have a dynamic, high-energy work environment, filled with expert employees, and unique opportunities for developing your career.
You will have the opportunity to connect with AMD leaders, receive one-on-one mentorship, attend amazing networking events and much more.
With AMD, you can get hands-on experience that will give you a competitive edge in the workforce. Get a jumpstart on an exciting career - apply today! LOCATION : San Jose, CA ONSITE : This role requires the student to work from the San Jose office throughout the duration of the Co-op / Intern term.
PROGRAM TERM : Fall 2024 : Start Date August 19th or September 9th, 2024 RESPONSIBILITIES : You will be responsible for executing projects for AI software framework development and benchmarking.
You will be involved in model migration to our RyzenAI stack and ensuring that the models are quantized and optimized to run on the AI stack.
You will research on model inference acceleration and involved in software simulation. You will be participating in research and development of deployment solutions for deep learning models on embedded devices.
You will be participating in the development of AI compilers and related tools You will work very closely with dev teams and Project Managers to drive results.
You will be writing technical documents and reports, participating in technical exchanges and presentations. KEY QUALIFICATIONS : You are currently enrolled in an accredited US University into a Masters or PhD degree program majoring in Computer Engineering, Electrical Engineer, Computer Science or related discipline with a focus on AI / ML.
You have good programming ability in Python and / or C++. Knowledge of C will be a bonus. You are familiar with some popular development tools, e.
g. git, cmake, make, conda or docker You have basic knowledge about data structure and algorithms, algorithm optimization, neural network, computer architecture.
You have proficiency in common deep learning frameworks such as PyTorch, TensorFlow etc. PREFERRED QUALIFICATIONS : You have familiarity with Rust Programming.
You have experience on AI framework development or operator implementation. You have knowledge of ONNX. You have a basic knowledge about data structure and algorithm, algorithm optimization, image processing, neural network, computer architecture.
You have some experience with ML quantization and AI compilers and familiarity with existing framework like TVM, LLVM, MLIR.
You have experience in driver development and Linux kernel / driver development BENEFITS : Healthcare coverage, dental and vision Paid holidays Relocation stipend Education assistance for required Co-op / Intern course.
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position.
You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan.
You’ll also be eligible for competitive benefits described in more detail here. 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 a Co-op student, you can make an immediate contribution to AMD's next generation of technology innovations. We have a dynamic, high-energy work environment, filled with expert employees, and unique opportunities for developing your career.
You will have the opportunity to connect with AMD leaders, receive one-on-one mentorship, attend amazing networking events and much more.
With AMD, you can get hands-on experience that will give you a competitive edge in the workforce. Get a jumpstart on an exciting career - apply today! LOCATION : San Jose, CA ONSITE : This role requires the student to work from the San Jose office throughout the duration of the Co-op / Intern term.
PROGRAM TERM : Fall 2024 : Start Date August 19th or September 9th, 2024 RESPONSIBILITIES : You will be responsible for executing projects for AI software framework development and benchmarking.
You will be involved in model migration to our RyzenAI stack and ensuring that the models are quantized and optimized to run on the AI stack.
You will research on model inference acceleration and involved in software simulation. You will be participating in research and development of deployment solutions for deep learning models on embedded devices.
You will be participating in the development of AI compilers and related tools You will work very closely with dev teams and Project Managers to drive results.
You will be writing technical documents and reports, participating in technical exchanges and presentations. KEY QUALIFICATIONS : You are currently enrolled in an accredited US University into a Masters or PhD degree program majoring in Computer Engineering, Electrical Engineer, Computer Science or related discipline with a focus on AI / ML.
You have good programming ability in Python and / or C++. Knowledge of C will be a bonus. You are familiar with some popular development tools, e.
g. git, cmake, make, conda or docker You have basic knowledge about data structure and algorithms, algorithm optimization, neural network, computer architecture.
You have proficiency in common deep learning frameworks such as PyTorch, TensorFlow etc. PREFERRED QUALIFICATIONS : You have familiarity with Rust Programming.
You have experience on AI framework development or operator implementation. You have knowledge of ONNX. You have a basic knowledge about data structure and algorithm, algorithm optimization, image processing, neural network, computer architecture.
You have some experience with ML quantization and AI compilers and familiarity with existing framework like TVM, LLVM, MLIR.
You have experience in driver development and Linux kernel / driver development BENEFITS : Healthcare coverage, dental and vision Paid holidays Relocation stipend Education assistance for required Co-op / Intern course.
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position.
You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan.
You’ll also be eligible for competitive benefits described in more detail here. 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.