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_

The Role

AMD is looking for a world class AI frameworks and compiler engineer who can provide technical leadership in the development of various AI frameworks in the AMD ecosystem. You will need to drive technical direction for next generation frameworks for AI model training and inference for wide variety of AMD devices, current and future, such as MI Instinct, and Radeon GPUs, XDNA devices, including the recently released Ryzen AI, Alveo V70 and Versal ACAP, and datacenter CPUs such as EPYC. You will work enhance the AI framework capabilities to enable cutting-edge models on onto AMD’s cutting-edge hardware.

The Person

If you are passionate about AI/ML frameworks, software architecture, and/or compilers this is your opportunity. You will be someone with deep experience with AI/ML frameworks, such as PyTorch, TensorFlow, ONNX/OnnxRuntime, with strong understanding of their backend architecture and API design. You will have demonstrated focus on developing and deploying model optimization features, such as graph fusion, quantization, sparsity. Additionally, you will have experience with compilers, possibly with compiler frameworks (e.g. LLVM, MLIR), and AI execution runtimes. You will be expected to drive the development of framework components to efficiently map AI models to run on a variety of HW AI accelerators. You should be someone who can work in a dynamic, fast-paced development environment, with excellent leadership and collaboration skills. You will work with multiple engineering teams that are geographically dispersed. You will work on next generation framework software, guiding other senior developers and domain experts.

Required Experience

• Experience with ML frameworks such as PyTorch, OnnxRuntime, JAX, TensorFlow
• Experience developing and debugging in Python.
• Excellent skills at designing Python tools and libraries used by large number of users.
• Proficient in C++ programming.
• Experience with AI model architectures, e.g. Transformers, CNNs.
• Experience developing AI execution runtime and familiarity with AI compilers.
• Team player and ready to work with a geographically distributed team.

Preferred Experience

• Highly preferred - knowledge of custom accelerator hardware
• Depth of experience with AI compilers, dataflow graphs, MLIR, and dialects
• Depth of experience with model optimization, including quantization, sparsity.
• Solid understanding of transformer architecture, LLMs, MoE.
• Experience on LLMs/LMMs finetuning, distillation, and/or RLHF

ACADEMIC CREDENTIALS (Please Do Not Apply Unless You Have)

• BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields.

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.

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.

The Role

AMD is looking for a world class AI frameworks and compiler engineer who can provide technical leadership in the development of various AI frameworks in the AMD ecosystem. You will need to drive technical direction for next generation frameworks for AI model training and inference for wide variety of AMD devices, current and future, such as MI Instinct, and Radeon GPUs, XDNA devices, including the recently released Ryzen AI, Alveo V70 and Versal ACAP, and datacenter CPUs such as EPYC. You will work enhance the AI framework capabilities to enable cutting-edge models on onto AMD’s cutting-edge hardware.

The Person

If you are passionate about AI/ML frameworks, software architecture, and/or compilers this is your opportunity. You will be someone with deep experience with AI/ML frameworks, such as PyTorch, TensorFlow, ONNX/OnnxRuntime, with strong understanding of their backend architecture and API design. You will have demonstrated focus on developing and deploying model optimization features, such as graph fusion, quantization, sparsity. Additionally, you will have experience with compilers, possibly with compiler frameworks (e.g. LLVM, MLIR), and AI execution runtimes. You will be expected to drive the development of framework components to efficiently map AI models to run on a variety of HW AI accelerators. You should be someone who can work in a dynamic, fast-paced development environment, with excellent leadership and collaboration skills. You will work with multiple engineering teams that are geographically dispersed. You will work on next generation framework software, guiding other senior developers and domain experts.

Required Experience

• Experience with ML frameworks such as PyTorch, OnnxRuntime, JAX, TensorFlow
• Experience developing and debugging in Python.
• Excellent skills at designing Python tools and libraries used by large number of users.
• Proficient in C++ programming.
• Experience with AI model architectures, e.g. Transformers, CNNs.
• Experience developing AI execution runtime and familiarity with AI compilers.
• Team player and ready to work with a geographically distributed team.

Preferred Experience

• Highly preferred - knowledge of custom accelerator hardware
• Depth of experience with AI compilers, dataflow graphs, MLIR, and dialects
• Depth of experience with model optimization, including quantization, sparsity.
• Solid understanding of transformer architecture, LLMs, MoE.
• Experience on LLMs/LMMs finetuning, distillation, and/or RLHF

ACADEMIC CREDENTIALS (Please Do Not Apply Unless You Have)

• BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields.