Senior Staff Software Development Engineer

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.

THE ROLE:
AMD is looking for a world class AI frameworks 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 working in one of the core areas, such as AI/ML frameworks (e.g. PyTorch, TensorFlow, ONNX/OnnxRuntime), AI runtime components, and/or optimization tooling to accelerate AI/ML workloads on AMD hardware platforms. You will collaborate closely with AI researchers to drive the development of framework components to efficiently map AI models to run on a variety of HW AI accelerators. You will have demonstrated focus in at least one of these areas: developing and deploying model optimization features, such as graph fusion, quantization, sparsity,

and/or experience with profiling and accelerating workloads on acceleerators such as GPU or NPU, and AI execution runtimes. 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 development in one of the focus areas: AI frameworks, AI runtime stacks, and/or performance tuning and optimizations for workloads running on ML accelerator HWs (e.g. GPUs).
• Experience with ML frameworks such as PyTorch, OnnxRuntime, JAX, TensorFlow
• Proficient in C++ programming.
• Experience developing and debugging in Python.
• Experience with AI model architectures, e.g. Transformers, CNNs.
• Team player and ready to work with a geographically distributed team.

PREFERRED EXPERIENCE:

• Highly preferred - knowledge of custom accelerator hardware
• Experience with AI software framework, benchmarking and profiling
• Operator/kernel development and deployment of models to accelerator (GPU/NPU) stack
• OR Depth of experience with model optimization, including quantization, sparsity.
• Understanding of model architectures, LLMs, MoE, diffusion.

ACADEMIC CREDENTIALS:

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

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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.