AI SOFTWARE VERIFICATION ENGINEER

Key Skills

Aartificial intelligence, Analytical and Problem solving, C Programming, C++, CUDA/GPU programming, FPGAs, Github, GPUs, Leadership Skill, Linux Operating system, Machine learning techniques, PyTorch, Streaming APIs, Transformer

Job Description

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_

THE ROLE:

AMD

 is looking for a 

specialized

 AI 

software engineer who is passionate about building the technology used to accelerate the latest AI models addressing the areas such as vision models, speech recognition, working with the leading engineers in AMD's CPU, GPU and Adaptable Compute teams validating the performance of key applications

.

THE PERSON:

The ideal candidate should be passionate about software quality and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. 

KEY RESPONSIBILITIES:

• Work with AMD’s development team to improve the quality and usability of future products 
•  including the latest algorithms, software, and architectures for AI acceleration. In this role you will provide expertise to help AMD build the best AI acceleration solutions in the industry
• Apply a data minded approach to target optimization efforts
• Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
• Debugging/fix existing issues and r
• esearch alternative, more efficient ways to accomplish the same work

• Develop technical relationships with peers and partners

PREFERRED EXPERIENCE:

• Strong object-oriented programming background, C/C++ preferred

• Knowledge of AI frameworks like TensorFlow, PyTorch, TVM, MLIR 
• Understanding of AI application stacks including OpenCV, OpenCL, OpenVX, etc.
• Expertise with Deep Neural network architectures like CNN, RNN, Transformer
• Knowledge of Acceleration platforms like GPU, TPU, APU, FPGAs. 
• Understanding of Software Quality Assurance best practices
• Years in Machine Learning
• Ability to write high quality code with a keen attention to detail
• Experience with modern concurrent programming and threading APIs
• Experience with Windows, Linux 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

ACADEMIC CREDENTIALS:

• Master's
•  or PHD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent