Microsoft
This role focuses on developing and optimizing systems for AI workload management, scheduling, and serving across diverse infrastructure environments. The engineer will design and build GPU-accelerated infrastructure for training and inference workloads while ensuring high reliability and performance. The position involves driving platform features from design to production, including observability and operational excellence, while providing technical leadership across teams.
Headquarters
Redmond, Washington, United States
Company Size
10001+ employees
Founded
1975
Explore Microsoft products and services and support for your home or business. Shop Microsoft 365, Copilot, Teams, Xbox, Windows, Azure, Surface and more.
Microsoft Takes a Stand Against the Trump Administration in Anthropic Fight - The New York Times
1 day ago
Microsoft Teams can now track what room you're in
1 day ago
Microsoft and retired military chiefs back AI company Anthropic in court fight against Pentagon
16 hours ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Microsoft.
Microsoft says ungoverned AI agents could become corporate 'double agents.' Its fix costs $99 a month.
3 days ago
Distributed Training & Inference Optimization Engineer (LLM) - GPU Optimization Department (GPUOD)
Rakuten Group, Inc.
Senior Solutions Architect, AI and HPC Infrastructure
NVIDIA
Model Serving Engineer – Remote
Bright Vision Technologies
Model Serving Engineer – Remote
Bright Vision Technologies
Model Serving Engineer – Remote
Bright Vision Technologies
Senior Product Manager – GPU Products & AI Infrastructure
Global Channel Management