Staff Software Development Engineer: GPU, AI/ML Ops & Quality Engineering

About this kind of role

What a Staff Software Development Engineer: GPU, AI/ML Ops & Quality Engineering usually does. The employer's own details are in the listing.

Typically does: This role focuses on developing and maintaining software infrastructure and tools to support GPU-accelerated machine learning workloads. Responsibilities include building pipelines for data processing, model training, and deployment, as well as establishing quality assurance processes for AI/ML systems. The engineer will collaborate with machine learning scientists and other engineers to optimize performance and scalability. They may also be involved in automating testing and monitoring of deployed models.

Tools and skills: Proficiency in Python, experience with cloud platforms (e.g., AWS, Azure, GCP), familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), and knowledge of DevOps principles and tools (e.g., Kubernetes, Docker) are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning, particularly those who enjoy building robust and scalable infrastructure, are well suited to this position.