Software Engineer 2 - CoreAI

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At Microsoft, we’re a community of passionate innovators driven by curiosity and purpose. We collaborate to imagine what’s possible and accelerate our careers in a cloud-powered world where openness and innovation unlock limitless potential.

Artificial Intelligence is central to Microsoft’s strategy—and the Azure AI Platform is leading the charge. As part of our team, you’ll contribute to cutting-edge projects that solve real-world challenges using transformative technologies.

We are looking for a Software Engineer 2 - Core AI to join our agile team at the core of Microsoft’s AI infrastructure. This team is building the Next Gen Scheduling & Optimization Platform—a foundational infrastructure layer that powers OpenAI models and other large-scale AI workloads across Azure.

In this role, you will be responsible for managing inferencing capacity that fuels Microsoft’s AI ambitions. Our fleet of premium AI accelerators runs state-of-the-art OpenAI models, forming the backbone of Microsoft’s Copilots and the Azure OpenAI Service. You’ll help dynamically allocate resources across models and customer offerings, monitor usage in near real-time, and rebalance capacity to drive massive efficiency gains.

You’ll work on high-impact distributed systems that support low-latency, high-volume, mission-critical customer scenarios, solving complex challenges in resource orchestration, telemetry, and performance optimization. You’ll collaborate across Azure, OpenAI, CoreAI Services, and infrastructure teams to shape the future of scalable, cost-efficient AI.

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C#, Go, or Python
  • OR equivalent experience.
• 2+ years of experience with distributed systems or cloud infrastructure
• 2+ years of experience with telemetry, metrics pipelines, or resource scheduling systems

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• Familiarity with cloud platforms (Azure, AWS, GCP) and container orchestration (Kubernetes, Service Fabric)
• Exposure to GPU-based workloads, model serving, or AI infrastructure
• Experience working with real-time systems or high-throughput APIs

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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• Design and implement scalable services for GPU scheduling, allocation, and optimization across diverse AI workloads.
• Build reliable orchestrations to monitor GPU usage near real time and drive automated rebalancing decisions.
• Integrate with fleet health dashboards and GPU lifecycle management systems to ensure reliability and performance.
• Collaborate with partner teams across Azure ML, AOAI, and Core AI to align architecture, APIs, and operational readiness.
• Contribute to platform evolution supporting new hardware and real-time inference APIs.