2 days ago
Santa Clara, CA, USAMid Level
H1B sponsor
Responsibilities
- Architect and drive the AI software stack for AMD hardware.
- Establish software development best practices and optimize performance from GPU kernels through distributed systems.
- Use LLMs and agent-based technologies to accelerate development and performance improvements in the AMD ROCm ecosystem.
- Optimize deep learning inference pipelines and GPU kernels and operators.
- Develop software for new accelerators and contribute to GPU architecture and hardware-software co-design.
- Accelerate applications including foundation models and autonomous AI agents.
- Collaborate with the broader AI community.
Requirements
- Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related field.
- Three years of experience in the job offered or a closely related engineering role.
- Alternatively, a bachelor’s degree or foreign equivalent in a related field and five years of progressive post-baccalaureate experience.
- Two years of experience in performance-critical software development, deep learning model architectures, deep learning inference optimization, modern C++, GPU programming, GPU architecture, and performance analysis of distributed multi-GPU systems.
- Experience with natural language processing, recommendation, computer vision, or other modern AI systems is required.
Benefits
- AMD benefits are offered; details are referenced in AMD’s benefits-at-a-glance information.
- No travel is required.
Tech Stack
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.