9 hours ago
San Jose, CA, USASenior
Responsibilities
- Architect and optimize LLMs, quantized models, and emerging AI workloads for AMD GPU architectures.
- Design, implement, profile, and optimize high-performance GPU kernels.
- Analyze compute, memory bandwidth, cache hierarchy, synchronization, kernel scheduling, and execution efficiency to identify and eliminate bottlenecks.
- Develop compiler-level optimizations and code-generation techniques using LLVM, MLIR, and related technologies.
- Create AI-assisted tools for code generation, debugging, performance analysis, kernel optimization, and engineering productivity.
- Provide technical leadership, define goals and scope, and independently drive development efforts and initiatives.
- Collaborate with GPU architecture, compiler, library, and framework teams across current and next-generation platforms.
Requirements
- Strong C++ skills.
- Strong understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks.
- Strong experience developing and optimizing GPU kernels using HIP, CUDA, C, C++, or similar technologies.
- Bachelor's or master's degree in electrical or computer engineering.
- Strong analytical and problem-solving skills with pronounced attention to detail.
- Ability to self-start and independently drive tasks to completion.
Tech Stack
CC++
Categories
About AMD
AMD designs and sells CPUs, GPUs, and adaptive/embedded computing products for PCs, data centers, gaming, and edge devices. Its portfolio includes Ryzen and EPYC processors, Radeon and Instinct graphics, and adaptive SoCs from its Xilinx acquisition, sold to OEMs, cloud providers, and device makers. Founded in 1969 and headquartered in Santa Clara, it is a public company on NASDAQ and supplies semi-custom chips for major game consoles.