Principal Software Engineer Job at Microsoft Corporation (Redmond)

Principal Software Engineer

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

163000.00 - 296400.00 USD / Year

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Job Description:

Monetization Engineering is responsible for building a unified, intelligent, and resilient monetization platform that drives revenue across Microsoft’s AI-native surfaces, including Copilot, Search, MSN, Shopping, and both first-party and third-party ecosystems. Our mission is to enhance advertiser value, optimize platform performance, and achieve long-term revenue growth through large-scale systems, machine learning-driven optimization, experimentation, and cross-surface innovation. We are seeking an experienced professional with expertise in GPU inference optimization and a deep understanding of LLM/SLM architecture to join our team. This is a unique opportunity to contribute to cutting-edge advancements in AI and deep learning while driving impactful solutions for Microsoft’s advertising and monetization platforms.

Job Responsibility:

Serves as the technological core of Microsoft's rapidly expanding digital advertising business
Focus on accelerating Microsoft’s large-scale deep learning inference for Ads, Shopping, Copilot, and other surfaces, including both offline and online applications that support OpenAI LLM models and next-generation LLMs/SLMs
Play a pivotal role in bridging state-of-the-art GPU and deep learning technologies with critical business applications

Requirements:

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
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.

Nice to have:

Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Solid experience in GPU inference optimization (CUDA, TensorRT, Triton, or custom GPU kernels)
Proficiency in profiling tools (Nsight, TensorBoard, PyTorch profiler) and ability to identify CPU/GPU bottlenecks
Deep understanding of LLM/SLM architectures (attention, embeddings, MoE, decoders)
Experience optimizing latency‑critical online services
Experience with model compression (quantization, distillation, SVD, low‑rank methods)
Experience in building high‑throughput inference serving stacks (continuous batching, KV‑cache optimizations, routing)
Familiarity with Microsoft’s DLIS, Talon routing, Triton/TensorRT‑LLM stack, and Azure/H100/A100 GPU environments
Publications, competition wins, or real‑world deployments related to model efficiency

Additional Information:

Job Posted:
April 23, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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