Principal Software Engineer- Maia Model Enablement

Define and drive the technical strategy required to enable new AI models, model architectures, and hardware generations on Maia.

Lead complex cross-stack investigations spanning models, serving systems, infrastructure, and hardware, driving resolution of systemic technical challenges.

Drive platform-wide improvements in performance, scalability, and serving capabilities that benefit multiple models and future hardware generations.

Create durable automation, validation, and engineering systems that improve the speed, reliability, and repeatability of model enablement across the organization.

Align model, software, infrastructure, and hardware teams around shared technical direction, execution plans, and long-term platform investments.

We work across the entire software stack, from model architectures and serving systems to infrastructure and hardware interactions.

The problems we solve evolve throughout the lifecycle of both models and hardware platforms. Engineers on the team regularly become effective in new domains and develop deep expertise when needed.

We rely heavily on measurement, experimentation, automation, and AI-assisted engineering workflows to move quickly and scale our impact.

We partner closely with model, software, and hardware teams to deliver production-ready solutions.

Multiple generations of models and hardware can be enabled more quickly because of architectural , platform, or process improvements you have driven.

Performance, scalability, and reliability improvements benefit broad classes of workloads rather than individual deployments.

Recurring technical challenges are transformed into reusable platform capabilities rather than repeatedly solved as one-off issues.