Senior Software Engineer, CoreAI Workload Engines | Microsoft Careers
Microsoft
At a glance
AI generatedAs a Principal Engineer on the CoreAI Workloads team at Azure, you will lead the optimization of inference engines for OpenAI and open-source models, focusing on performance improvements across runtime, scheduling, and serving paths. Your daily tasks include running end-to-end experiments to measure and improve latency, throughput, availability, and cost, while also building experimentation capabilities that ensure safe and repeatable changes. You’ll work closely with the data plane, compute, and partner teams to enhance inference serving architectures using techniques like disaggregated serving and multi-token prediction. Essential skills include experience in performance analysis, debugging complex systems issues, and hands-on expertise with Kubernetes for production services. Preferred qualifications involve optimizing LLM inference, familiarity with GPU-accelerated stacks, and building experimentation systems. This role offers the chance to influence cloud GPU platforms used by Fortune 500 enterprises and startups alike, collaborating with experts across various technical domains.
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What you'll do
What we're looking for
Market check
This $142,800–$274,800 range sits above 68% of similar postings on FindRole.
Peer median band
$139,900–$239,250
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$177,250–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has 451 open roles on FindRole.
Listed pay typically runs $119,800–$234,700 across 417 roles with salary data.
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