Senior Platform Software Engineer – AI/ML & GPU Infrastructure

About this kind of role

What a Senior Platform Software Engineer – AI/ML & GPU Infrastructure usually does. The employer's own details are in the listing.

Typically does: This role focuses on designing, developing, and maintaining the software infrastructure that supports artificial intelligence and machine learning applications. Senior Platform Engineers in this area build and optimize platforms for GPU utilization, ensuring efficient processing of large datasets and complex models. They often work on scalability, reliability, and performance improvements for these systems. Responsibilities can include automation, monitoring, and troubleshooting of the underlying infrastructure.

Tools and skills: Proficiency in programming languages like Python and C++, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and familiarity with machine learning frameworks (TensorFlow, PyTorch) and GPU technologies (CUDA) are commonly required.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning and high-performance computing often thrive in this role.