GPU Software Engineer

About this role

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
We are looking for a GPU application engineer to enable AMD GPU acceleration through HIP for applications that currently use CUDA backends, or that require a new HIP-based backend.


This role is part of an ISV enablement engineering team and focuses on application-level GPU programming, performance tuning, and integration.


The Person
The ideal candidate is a highly self‑driven GPU application engineer who can be productive from day one within a complex, performance‑critical codebase. You have hands‑on experience developing and optimizing mature CUDA‑based applications, and you bring a pragmatic, engineering‑first mindset: knowing when to chase peak performance and when to favor clarity, portability, and long‑term maintainability. You work independently, stay organized while driving multiple parallel efforts, and communicate clearly with cross-functional teams, application developers, and stakeholders.


Key Responsibilities

• Port CUDA-based GPU code to HIP, including kernels, runtime logic, and build systems
• Design and implement HIP backends for applications without existing AMD GPU support
• Enable and integrate HIP ray tracing (HIPRT) where applicable
• Optimize GPU kernels and application pipelines...