Description
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:
In this role, as part of our team, you will have a unique opportunity to work with industry-leading clients, leveraging the latest hardware capabilities to drive innovation and optimize AI workload performance across Radeon GPUs. You will be among the first to integrate new hardware with the latest applications, libraries, frameworks, and SDKs, solving complex challenges and pushing the boundaries of AI technology. Join us in our mission to enable and optimize ROCm on Radeon solutions and the ecosystem.
THE PERSON:
You are a skilled engineer with a deep passion for pushing the boundaries of AI technology. You excel in full stack CPU-GPU-NIC environments and relish the opportunity to tackle complex technical challenges. Your commitment to writing efficient, maintainable, and scalable software is matched by your collaborative spirit and curiosity. You are eager to contribute to open-source repositories that drive the next generation of AI workloads, and you take pride in being part of a team that is at the forefront of AI innovation.
KEY RESPONSIBILITIES:
- Design, develop, and optimize AMD ROCm on Radeon solutions for AI inference.
- Collaborate with cross-functional teams to integrate and validate new features and enhancements.
- Conduct performance analysis and optimization to ensure high efficiency and scalability of developed solutions.
- Stay updated with the latest advancements in AI, machine learning, and GPU programming to drive innovation within the team.
- Mentor junior engineers and contribute to the continuous improvement of development processes and best practices.
PREFERRED EXPERIENCE:
- 20+ years of experience in software development, systems engineering, customer or partner-facing technical roles.
- Strong proficiency in C++ and GPU programming languages such as CUDA, HIP, or OpenCL.
- Strong proficiency in different computer architectures (x86 or ARM) and related peripheral devices like GPU, Encoder, NIC, FPGA.
- Experience with AI training and inference frameworks and tools.
- Proven track record of developing high-performance, scalable software solutions.
- Familiarity with the AI inference solution (Model -> inference engine -> runtime -> GPU -> server -> cluster) is a plus.
- Excellent problem-solving skills and the ability to work effectively in a team environment.
ACADEMIC CREDENTIALS:
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
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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.
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