AI Runtime and ML Model Systems Engineer

We are looking for an AI Runtime / ML Model Systems Engineer to define the architecture and performance strategy for AI workloads across HP PCs. You will determine how software should use compute engines, memory, hardware capabilities, and different model types to deliver reliable and responsive AI experiences. Working with platform architects and engineering teams, you will shape runtime abstraction frameworks, model placement policies, and execution strategies across CPUs, GPUs, and NPUs.

You will translate product and experience requirements into architectural decisions that balance inference performance, resource availability, power consumption, and thermal constraints. This role emphasizes system design, technical planning, and architectural guidance. Success requires deep knowledge of AI runtime behavior and the ability to define solutions that engineering teams can implement and validate across different hardware configurations.