Software Development Engineer - GPU Libraries

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we'll advance your career.

THE ROLE:

Do you want to help build the AI software that runs on top of the world's fastest supercomputers and most advanced data centers?

At AMD, we are looking for passionate and talented Software Engineers to join our team. You will help develop cutting-edge technology that pushes the boundaries of performance and efficiency for the next generation of GPU accelerators. This is an opportunity to contribute to open-source AI software from AMD and the broader community, driving innovation and enhancing AI performance across data center GPUs.

THE PERSON:

You are a talented engineer who is passionate about advancing the frontiers of AI. You thrive in open-source environments, enjoy tackling complex technical challenges, and take pride in writing efficient, maintainable, and scalable software. You are collaborative, curious, and excited to contribute to the open-source repositories that power the next generation of AI workloads.

KEY RESPONSIBILITIES:

• Open-Source Innovation: Contribute to ROCm, Verl, Ray, Triton Inference Server, FlashInfer, physical simulation, and other emerging open-source projects driving AI innovation.
• Ecosystem Collaboration: Collaborate with leading partners and open-source communities to enable AI workloads and improve performance on data center GPUs.
• AI Tool Engineering & Utilization: Architect, build, and deploy custom internal AI utilities, automated agents, and developer workflows while leveraging advanced LLMs to accelerate code generation, optimize custom kernels, and automate the debugging of GPU performance bottlenecks.

PREFERRED EXPERIENCE:

• Core Programming: Proficiency in C++, Python, or similar programming languages.
• Domain Expertise: Strong foundational knowledge of AI training, inference methodologies, and full-stack AI tool development/lifecycle integration.
• Hardware Acceleration: Familiarity with GPU programming (CUDA, HIP, or OpenCL) and performance optimization techniques.

ACADEMIC CREDENTIALS:

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

This role is not eligible for visa sponsorship.

#LI-G11

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.