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.**
We are looking for a dynamic, energetic Lead / Staff Software Engineer to join our growing team in AI (Artificial Intelligence) group. In this role, the individual will be responsible for developing AI/ML specific C/C\+\+ kernels and dataflow schedules for AMD Ryzen Processors built on XDNA Neural Processor Units (NPU) to map LLMs, Stable Diffusion networks on NPU. As a C\+\+ Kernel Developer, you will play a crucial role in designing, optimizing, and implementing machine learning kernels specifically tailored for vector processors. Your work will directly impact the efficiency, speed, and accuracy of our machine learning models. **KEY RESPONSIBILITIES:*** **Kernel Development:**
+ Collaborate with the research and software teams to integrate these kernels into the existing software stack.
+ Develop vectorized code that leverages SIMD (Single Instruction, Multiple Data) and ILP (instruction level parallelism) for maximum performance.
+ Identify bottlenecks and optimize critical sections for better throughput.
+ Write unit tests and integration tests to ensure correctness and reliability.
+ Validate kernel performance across different hardware platforms.
+ Follow coding guidelines, use tools like git to maintain code and create pull\-requests, and documentation.
+ Collaborate with cross\-functional teams, including machine learning researchers and software engineers.
BS/Masters/PhD degree in Computer Science, Electrical Engineering, or a related field with around 10/8/5 year experience respectively.
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