| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $163,000–$296,400 / yr
Posted: 53 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k

This role $230k

$99k most similar roles pay here $318k

This role pays more than 98% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $230k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Principal Software Engineer on the GenAI Infrastructure and Solutions team, you will lead the development of large-scale training infrastructure and tools for various AI models including LLMs, SLMs, multimodal, and code-specific models. Your day-to-day responsibilities include collaborating with engineers and researchers to optimize training infrastructure, designing highly scalable and reliable services, ensuring security and privacy compliance, and improving engineering practices in complex cloud environments. You will also contribute to the deployment and monitoring of these systems in production. The role requires expertise in languages such as C++, Java, Python, and familiarity with distributed systems, containerization tools like Docker and Kubernetes, DevOps practices, and virtualization technology. This position is integral to supporting AI teams across Microsoft in fine-tuning large language models for diverse applications at scale.

Skills

Python Docker Kubernetes CI/CD DevOps C C++ C# Java JavaScript distributed systems cloud-based infrastructure containerization tools virtualization technology production ML systems model serving caching batching monitoring

What you'll do

Lead the development of training infrastructure for various AI models including LLMs and SLMs.
Design and enhance services to ensure high scalability and reliability in cloud environments.
Implement security and privacy measures for production traffic handling.
Improve engineering systems and practices to maintain service quality in complex cloud setups.
Contribute to the deployment and monitoring of AI services in production.

What we're looking for

8+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, Python.
6+ years of experience designing, developing, and shipping high-quality software.
3+ years of experience with distributed systems and cloud-based infrastructure.
2+ years of experience with containerization tools like Docker and Kubernetes.
2+ years of experience with DevOps practices including CI/CD, automated testing, and deployment.
Familiarity with production ML systems and concepts such as model serving, caching, batching, and monitoring.
Bachelor's Degree in Computer Science or related technical field.

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