GPU Application Engineer

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 enableAMD GPU acceleration through HIPfor applications that currently useCUDA backends, or that require anew HIP-based backend.

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

THE PERSON:

The ideal candidate is a highly selfdriven GPU application engineer who can be productive from day onewithin a complex, performancecritical codebase. You have handson experience developing and optimizing mature CUDAbased applications, and you bring a pragmatic, engineeringfirst mindset: knowing when to chase peak performance and when to favor clarity, portability, and longterm maintainability. You work independently, stay organized while driving multiple parallel efforts, and communicate clearly with cross-functional teams, application developers, and stakeholders.

KEY RESPONSIBILITIES:

• PortCUDA-based GPU code to HIP, including kernels, runtime logic, and build systems

• Design and implementHIP backendsfor applications without existing AMD GPU support

• Enable and integrateHIP ray tracing (HIPRT)where applicable

• OptimizeGPU kernels and application pipelines for AMD GPU architectures

• Debug correctness, performance, and stability issues in application-level GPU code

• Work with profiling tools toidentifyand resolve bottlenecks

• Collaborate with internal compiler/runtime teams to escalate lower-level issues when needed

• Maintain clean, portable GPU code across vendors

PREFERRED QUALIFICATIONS:

• Advanced software development experience, with significant experiencein GPU programming

• StrongC/C++programming skills

• Hands-on experience withCUDA(kernel development, memory management, streams/events)

• Experience developing GPU-accelerated applications

• Solid understanding ofGPU programming fundamentals

• Strong debugging skills for GPU kernels and application pipelines

• Experience developing onLinux

• Experience withHIP andROCm

• Experience porting CUDA code to HIP (manual orhipify-based)

• Familiarity withHIPRT or GPU ray tracing concepts

• Experience with GPU profiling tools

• Experience working in large, multi-backend codebases

• Familiarity with NVIDIAOptiXor similar GPU ray tracing APIs

ACADEMIC CREDENTIALS:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

LOCATIONS:

Austin, TX. or Boxborough, MA.

This role is not eligible for visa sponsorship.

#LI-CB1

#LI-Hybrid

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

This posting is for an existing vacancy.