
Software Engineer for AI Innovation
2 weeks ago
Unlock AI Acceleration Opportunities
">The role of a software engineer is pivotal in driving innovation and performance in the realm of artificial intelligence. This position involves being part of a core team that develops cutting-edge ML tools and methodologies to optimize system performance for AI workloads.
This entails working with the latest AI models addressing vision, language, and generative models, alongside leading engineers from AMD's CPU, GPU, and Adaptable Compute team. Key responsibilities include designing and developing efficient code-generation and optimization techniques using MLIR/LLVM, consistently researching and implementing methods to improve performance, and staying informed of software and hardware trends.
Key Responsibilities:
- Design and develop efficient code-generation and optimization techniques for AI products using MLIR/LLVM
- Consistently research and implement methods to improve the performance of our solutions
- Stay informed of software and hardware trends and innovations, especially pertaining to AI algorithms and architectures
- Optimizing current systems and researching alternative, more efficient ways for same goals
- Develop technical relationships with peers and partners
- Work with architecture specialists to improve future products
- Developing and optimizing code for VLIW processors
PREFERRED EXPERIENCE:
- Strong object-oriented programming background, C/C++ and/or Python with 3+ years of industry experience
- Prior experience in Graph compilers and optimizations
- Deep understanding of performance implications on AI acceleration of different compute, memory, and communication configurations and hardware and software
- Good knowledge of AI frameworks like ONNX, PyTorch, TVM, TensorFlow
- Familiarity with compiler technologies like MLIR/LLVM
- Ability to write high-quality code with a keen attention to detail
- Familiar with implementation of key ML operations like GEMM, CONV
- Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers
- Effective communication and problem-solving skills
ACADEMIC CREDENTIALS:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical
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