Senior Software Development Engineer
3 weeks ago
We're passionate about using AMD technology to enrich our industry, communities, and the world. Our mission is to build innovative products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems.
At AMD, we push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
The Role:
We're seeking a skilled and experienced engineer to join our core team of talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD AIE in Ryzen AI PC and embedded FPGA devices.
The compiler needs to take a model written in ONNX or PyTorch and produce optimized control and executable code for AIE VLIW processor array. Additionally, the compiler needs to handle partitioning between x86/embedded processor/FPGA fabric and AIE and generate code to interface with AMD AIE specific runtime and driver.
Key Responsibilities:
Define system architecture that provides an easy-to-use interface for end users and seamless integration with AMD runtime and AIE. Integrate compiler and compiled model with ML Frameworks (such as ONNX and PyTorch). Implement model partitioning in ML Frameworks and/or MLIR. Implement runtime to distribute work to and collect results from x86 cores and the array of AIE cores. Learn latest industry trends and bring new ideas to the team. Design and develop new groundbreaking AMD technologies. Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work. Mentor and provide guidance to others. Develop technical relationships with peers and partners.
Preferred Experience:
Strong system architecture experience on end-to-end AI acceleration solutions. Strong object-oriented programming background, C/C++ and Python. Compiler building skills. Code generation for a ML hardware accelerator. Machine Learning concepts and model development experience. Understanding of ONNX, PyTorch, etc. Ability to write high-quality code with a keen attention to detail. Experience with modern concurrent programming and threading APIs. Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus. Effective communication and problem-solving skills. Motivating leader with good interpersonal skills.
Academic Credentials:
Bachelor's, Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
Location:
San Jose, CA
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