Deep Learning Library GPU Software Development Engineer

at  AMD

Job Description

PREFERRED EXPERIENCE:

Strong programming skills in C/C++; experience with CUDA programming and CUTLASS preferred Experience with LLVM Compiler, and compiler optimization techniques for GPU computing is preferred.
Experience or knowledge about BLAS operators and GEMM optimization.
Knowledge of Computer Architect and GPU architect.
Good teamwork and interpersonal skills required Ability to work independently and within complementary teams
Demonstrate flexibility, strong motivation, and a proven track record of meeting results-oriented deadlines
Knowledge with deep neural network machine learning technologies and modern machine learning
programming frameworks Experience working with and developing virtualization containers and package managers for code deployment
Ability to write high quality code with a keen attention to detail
Experience with modern concurrent programming and threading APIs
Experience with Windows, Linux and/or Android operating system development
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

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. 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.
AMD together we advance_
Deep Learning Library GPU Software Development Engineer

THE ROLE:

AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.

KEY RESPONSIBILITIES:

Work with AMD’s architecture specialists to improve future products.
The ideal candidate will be responsible for writing high-performance GPU kernels for AMD’s Machine Learning and Deep Learning Library: MIOpen (https://github.com/ROCmSoftwarePlatform/MIOpen) and Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators
They will be porting and optimizing algorithms for new GPU hardware Perform code reviews, build unit tests, author detailed documentation related to their work, and work with on-site and offshore teams to deliver the software solutions on schedule
They will play a key role in all phases of the software development including system requirements analysis, coordinating feature design and development across functional and organizational boundaries
Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
Design and develop new groundbreaking AMD technologies
Participating in new ASIC and hardware bring ups
Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work
Develop technical relationships with peers and partners