| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $139,900–$274,800 / yr
Posted: 64 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 $207k

$101k most similar roles pay here $293k

This role pays more than 77% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $207k 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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Join the CoreAI organization at Microsoft as a senior engineer on the FIT training team, where you will contribute to advancing scientific methods and scalable infrastructure for agentic AI models using both proprietary and open-source frameworks. Your day-to-day responsibilities include engaging with key partners to implement complex inferencing capabilities, designing API orchestration layers leveraging OpenAI tools, and automating real-world problems with cutting-edge reasoning AI models. You will work on a fast-moving software stack and collaborate in a dynamic environment to deliver optimal cost and performance on one of the world’s largest GPU fleets. Ideal candidates possess extensive experience in distributed computing, high-scale online services, and preferred skills include Docker, Kubernetes, CI-CD pipelines, Rust programming, and parallel algorithms for GPU communication with frameworks like DeepSpeed and PyTorch Distributed.

Skills

Python Kubernetes Docker Rust CI/CD DeepSpeed PyTorch GCP Azure LLMs SLMs OpenAI API orchestration GPU fleets Parallel algorithms Geodistributed teams DevOps

What you'll do

Develop complex inferencing capabilities for Microsoft Copilot and other products using OpenAI models.
Design API orchestration layers to integrate advanced AI tools and frameworks.
Automate real-world problems with cutting-edge reasoning AI models on innovative platforms.
Optimize inference performance and cost efficiency on high-scale GPU hardware stacks.
Identify, assess, and mitigate project risks in a fast-paced startup environment.

What we're looking for

6+ years of technical engineering experience in coding languages like C, C++, Java, Python.
Experience in distributed computing architecture and high-scale online service development.
Practical experience creating or customizing AI agents for real-world automation tasks.
Knowledge of Docker, Kubernetes, CI/CD pipelines, and DevOps practices on microservices.
Understanding of parallel algorithms and GPU communication libraries like DeepSpeed, PyTorch Distributed.
Experience in developing low latency systems and working in geo-distributed teams.

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