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AI Performance Engineer
2 months ago
Transform the Future with AMD
At AMD, we are committed to innovating technology that improves lives and drives progress in our communities and around the world. Our mission is to develop exceptional products that enhance next-generation computing experiences, forming the backbone of data centers, artificial intelligence, personal computing, gaming, and embedded systems. Central to our mission is the AMD culture, where we challenge the limits of innovation to address the most pressing global challenges. We strive for excellence in execution while maintaining a culture of transparency, humility, collaboration, and respect for diverse perspectives.
Position Overview:
This role involves contributing to the advancement of AI acceleration on a large scale. You will be responsible for designing tools and strategies that optimize system performance for AI tasks on Ryzen AI SoC. Your work will focus on innovative optimization techniques to enhance state-of-the-art AI models, particularly in vision, language, and generative applications, in collaboration with leading engineers from AMD's CPU, GPU, and Adaptable Compute teams. Key responsibilities include analyzing AI workloads, identifying performance bottlenecks at the system level, and developing solutions to achieve peak performance and efficiency.
Key Responsibilities:
- Develop tools for analyzing AI workloads and optimizing their mapping to AI accelerators.
- Work collaboratively with various teams to improve components of the software stack, including AI compilers, frameworks, device drivers, and firmware.
- Experiment with and optimize data movement and tiling strategies for advanced AI models, including generative AI.
- Collaborate with multiple AMD teams to define requirements for backend libraries, compilers, and toolchains that accelerate AI models on AMD platforms.
Qualifications:
- Strong understanding of AI and machine learning principles and techniques, with practical experience applying these concepts in research or professional environments.
- Knowledge of how different compute, memory, and communication configurations impact AI acceleration, along with hardware and software implementation choices.
- Experience in coding and optimizing for VLIW processors, with a focus on high-performance operations such as CONV, GEMM, and non-linear functions.
- Familiarity with AI frameworks, especially ONNX.
- Experience with AI/ML inference stacks, including ONNXRuntime.
- Prior experience with GPU acceleration using AMD or Nvidia technologies.
- Proficient in team collaboration using version control systems (e.g., git).
- Strong skills in benchmarking methodologies and debugging tools.
- Excellent communication and problem-solving abilities.
Educational Background:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Compensation and Benefits:
At AMD, we offer a comprehensive compensation package that reflects your skills, qualifications, experience, and location. This includes potential incentives related to your role, such as annual bonuses or sales incentives. Many AMD employees can also participate in the Employee Stock Purchase Plan, allowing them to purchase AMD stock at a discount. Additionally, we provide competitive benefits that are detailed further in our resources.
AMD is an equal opportunity employer and values diversity. We welcome applications from all qualified individuals and are committed to accommodating applicants' needs in accordance with applicable laws throughout the recruitment process.
