GPU Software Development Engineer
4 weeks ago
We are seeking a talented software engineer to join our team at Advanced Micro Devices (AMD). As a key member of our core team, you will work with the latest hardware and software technology to improve the performance of key applications and benchmarks.
Key Responsibilities:
- Collaborate with AMD's architecture specialists to enhance future products.
- Develop high-performance GPU kernels for AMD's Machine Learning and Deep Learning Library: MIOpen and Composable Kernel.
- Port and optimize algorithms for new GPU hardware, ensuring timely delivery of software solutions.
- Contribute to all phases of software development, including system requirements analysis and feature design.
- Stay informed about software and hardware trends, particularly in algorithms and architecture.
- Design and develop new groundbreaking AMD technologies.
- Participate in new ASIC and hardware bring-ups.
- Debug and fix existing issues, exploring alternative, more efficient solutions.
- Develop technical relationships with peers and partners.
Preferred Experience:
- Strong programming skills in C/C++; experience with CUDA programming and CUTLASS is preferred.
- Experience with LLVM Compiler and compiler optimization techniques for GPU computing is a plus.
- Knowledge of BLAS operators and GEMM optimization is beneficial.
- Good teamwork and interpersonal skills are essential.
- Demonstrate flexibility, strong motivation, and a proven track record of meeting deadlines.
- Knowledge of deep neural network machine learning technologies and modern machine learning programming frameworks is a plus.
- Experience with virtualization containers and package managers for code deployment is beneficial.
- Ability to write high-quality code with attention to detail.
- Experience with modern concurrent programming and threading APIs is a plus.
- Experience with Windows, Linux, and/or Android operating system development is beneficial.
- Experience with software development processes and tools, such as debuggers, source code control systems (GitHub), and profilers, is a plus.
Academic Credentials:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent with experience in GPU programming.
- PhD in Computer Science and related programs with experience in Parallel Computing and GPU Architecture is beneficial.
Location: Calgary, Alberta
AMD is an equal opportunity employer and welcomes applications from all qualified candidates.
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