System Design Engineer for AI Solutions

Qualifications

• To be successful in this role, you will need to have a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience

• You should also have specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g.

PyTorch), numerics and SW/HW co-design

Responsibilities

• As a seasoned AI Systems Software Architect, you will be responsible for designing and developing innovative AI systems that meet the needs of our users

• This includes applying your knowledge of system design principles, algorithms, and data structures to develop scalable and efficient AI systems

• You will work closely with cross-functional teams to integrate AI solutions into our existing product offerings

Full Description

As a seasoned AI Systems Software Architect, you will be responsible for designing and developing innovative AI systems that meet the needs of our users.

This includes applying your knowledge of system design principles, algorithms, and data structures to develop scalable and efficient AI systems.

You will work closely with cross-functional teams to integrate AI solutions into our existing product offerings.

To be successful in this role, you will need to have a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. You should also have specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design.