12 hours ago
San Jose, CA, USAEntry Level
Base Salary
$240k - $360k/yr
Responsibilities
- Contribute to ROCm, Verl, Ray, Triton Inference Server, FlashInfer, physical simulation, and other open-source AI projects.
- Collaborate with partners and open-source communities to enable AI workloads and improve performance on AMD data center GPUs.
- Architect, build, and deploy internal AI utilities, automated agents, and developer workflows.
- Use LLMs to accelerate code generation, optimize custom kernels, and automate debugging of GPU performance bottlenecks.
Requirements
- Proficiency in C++, Python, or similar programming languages.
- Strong foundational knowledge of AI training and inference methodologies.
- Experience with full-stack AI tool development and lifecycle integration.
- Familiarity with GPU programming using CUDA, HIP, or OpenCL and performance optimization techniques.
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
Benefits
- AMD benefits are described through its benefits-at-a-glance information.
- This role is not eligible for visa sponsorship.
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.