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Overview

The platform Engineering team is responsible for designing and optimizing AI Agents that can reason, plan, and take action autonomously. we build robust orchestration layers that coordinate complex multi-model and multi-service workflows with reliability and scale. And we will push the boundaries of inference performance, driving low-latency, high-quality model execution across production workloads. Join us in building the foundation for the next generation of AI. As a Member of Technical Staff, Compute Abuse Prevention, you'll design and deliver the systems that ensure GPU and other AI compute resources are used efficiently, securely, and fairly. These building blocks form the backbone of scalable, reliable, and cost-efficient workflows that product teams rely on to train and deploy models without wasted compute or malicious interference. From abuse detection to resource optimization, you'll deliver fast, secure, and dependable execution that ensures AI workloads run smoothly and efficiently.

Your work will make it possible for AI workloads and agents to run securely, efficiently, and without interruption - ensuring the platform doesn't just function, but delivers compute where it's needed most. Ideal candidates have backend or ML systems expertise and thrive at the intersection of product, infrastructure, and inference. You take ownership, tackle hard problems, and build the connective systems that make AI platforms fast, reliable, and scalable - collaborating with teams to deliver high-impact solutions that prevent wasted compute and protect the integrity of real-world AI workloads.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

Responsibilities

+ Build secure, efficient platform services that detect and prevent compute abuse while ensuring legitimate workloads get needed GPU/CPU resources.

+ Collaborate with infrastructure, security, and product teams to design scalable, reliable, and maintainable abuse-prevention systems.

+ Deliver production-quality code iteratively, developing tools, dashboards, and automation to monitor and mitigate wasted or malicious compute usage.

+ Ensure AI workloads run efficiently and fairly, balancing throughput, latency, and priority across shared resources.

+ Embody our Culture and Values .

Qualifications

Required Qualifications

+ Do you have a Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience?

Preferred Qualifications

+ Bachelor’s degree in Computer Science or related technical discipline **and** 6+ years of technical engineering experience, or equivalent experience.

+ Proficiency in coding languages such as C, C++, C#, Go, Java, Python, and/or Rust.

+ Strong collaborator with proven ability to communicate complex technical concepts clearly to technical and non-technical stakeholders and work effectively with cross-functional teams.

+ Skilled at designing and operating reliable, high-performance systems, detecting and mitigating resource abuse, and writing clean, maintainable, and secure code.

+ Adaptable, proactive, and passionate about learning new technologies, thriving in fast-paced environments, and contributing to an inclusive, high-impact team culture.

+ Hands-on experience with AI platforms, ML frameworks, APIs, and large-scale compute clusters, including monitoring, scheduling, and resource optimization.

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 $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)