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# Senior Software Engineer - Maia Model Enablement

- **Company:** Microsoft
- **Location:** United States
- **Experience:** Expert
- **Salary:** $119,800.0 - $261,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Build Automation, Microsoft Online Services, C++ (Programming Language), Software Debugging, Distributed Systems, High-Level Architecture, Python (Programming Language), Software Tools, Tensorflow, Software Engineering, Pytorch, Large Language Models, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f7f71eb5bf7774d7

## About the Role

* Bachelor's Degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages such as C++, or Python, or equivalent experience.

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.

Additional or Preferred qualifications:

 * Understanding of modern AI model architectures, inference systems, and performance characteristics.
 * Experience working with AI/ML frameworks, runtimes, or serving stacks such as PyTorch, ONNX Runtime, vLLM, TensorRT-LLM, or similar technologies.
 * Experience diagnosing and resolving complex issues across software, systems, and hardware layers.
 * Familiarity with performance analysis, distributed systems, accelerator architectures, or large-scale production services.
 * Experience enabling software on new hardware platforms, accelerators, or large-scale systems through activities such as bring-up, performance characterization, hardware-software debugging, or platform enablement.
 * Experience using AI-assisted engineering tools, agents, skills, and workflow automation to accelerate software development, debugging, code maintenance, investigation, and engineering productivity.
 * Proficiency in software development with languages such as Python, C++, or equivalent technologies.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year.

## Description

At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Responsibilities

What You'll Do

 * Bring new AI models and model architectures to Maia.

 * Diagnose and resolve issues across software, systems, and hardware layers.

 * Improve performance, scalability, and serving capabilities for production AI workloads.

 * Build automation, validation infrastructure, and engineering systems that accelerate model onboarding.

 * Partner across model, runtime, infrastructure, and hardware teams to remove obstacles and deliver production impact.

How We Work

 * We work across the entire software stack, from model architectures and serving systems to infrastructure and hardware interactions.

 * The problems we solve evolve throughout the lifecycle of both models and hardware platforms. Engineers on the team regularly become effective in new domains and develop deep expertise when needed.

 * We rely heavily on measurement, experimentation, automation, and AI-assisted engineering workflows to move quickly and scale our impact.

 * We partner closely with model, software, and hardware teams to deliver production-ready solutions.

Success Looks Like

 * A new model architecture can run correctly on Maia.

 * Production models achieve performance, scalability, and reliability targets.