Senior Software Engineer- Maia Model Enablement

Bring new AI models and model architectures to Maia.

Diagnose and resolve issues across software, systems, and hardware layers.

Improve performance, scalability, and serving capabilities for production AI workloads.

Build automation, validation infrastructure, and engineering systems that accelerate model onboarding.

Partner across model, runtime, infrastructure, and hardware teams to remove obstacles and deliver production impact.

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.

A new model architecture can run correctly on Maia.

Production models achieve performance, scalability, and reliability targets.

Bottlenecks are identified and resolved regardless of where they exist in the stack.

New hardware generations become usable by model teams.

Model onboarding becomes faster, more repeatable, and less operationally intensive.