Overview
On Site
USD 100,600.00 - 199,000.00 per year
Full Time
Skills
Innovation
Agile
Management
Art
Backbone.js
Performance Tuning
Optimization
Dashboard
Lifecycle Management
Collaboration
Machine Learning (ML)
Computer Hardware
Computer Science
C#
Python
IaaS
Scheduling
Screening
PASS
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Orchestration
Kubernetes
GPU
Artificial Intelligence
Real-time
Software Engineering
Integrated Circuit
IC
Internal Communications
SAP BASIS
Legal
Recruiting
Microsoft
Job Details
At Microsoft, we're a community of passionate innovators driven by curiosity and purpose. We collaborate to imagine what's possible and accelerate our careers in a cloud-powered world where openness and innovation unlock limitless potential.
Artificial Intelligence is central to Microsoft's strategy-and the Azure AI Platform is leading the charge. As part of our team, you'll contribute to cutting-edge projects that solve real-world challenges using transformative technologies.
We are looking for a Software Engineer 2 - Core AI to join our agile team at the core of Microsoft's AI infrastructure. This team is building the Next Gen Scheduling & Optimization Platform -a foundational infrastructure layer that powers OpenAI models and other large-scale AI workloads across Azure.
In this role, you will be responsible for managing inferencing capacity that fuels Microsoft's AI ambitions. Our fleet of premium AI accelerators runs state-of-the-art OpenAI models , forming the backbone of Microsoft's Copilots and the Azure OpenAI Service . You'll help dynamically allocate resources across models and customer offerings, monitor usage in near real-time, and rebalance capacity to drive massive efficiency gains.
You'll work on high-impact distributed systems that support low-latency, high-volume, mission-critical customer scenarios , solving complex challenges in resource orchestration , telemetry , and performance optimization . You'll collaborate across Azure, OpenAI, CoreAI Services, and infrastructure teams to shape the future of scalable, cost-efficient AI.
Responsibilities:
Qualifications:
Required/Minimum Qualifications
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:
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br>
Microsoft posts positions 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, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#AIPLATFORM
#AzureOpenAI
#llm
#distributedsystems
#MicrosoftAI
#AICoreServices
#CoreAI
Artificial Intelligence is central to Microsoft's strategy-and the Azure AI Platform is leading the charge. As part of our team, you'll contribute to cutting-edge projects that solve real-world challenges using transformative technologies.
We are looking for a Software Engineer 2 - Core AI to join our agile team at the core of Microsoft's AI infrastructure. This team is building the Next Gen Scheduling & Optimization Platform -a foundational infrastructure layer that powers OpenAI models and other large-scale AI workloads across Azure.
In this role, you will be responsible for managing inferencing capacity that fuels Microsoft's AI ambitions. Our fleet of premium AI accelerators runs state-of-the-art OpenAI models , forming the backbone of Microsoft's Copilots and the Azure OpenAI Service . You'll help dynamically allocate resources across models and customer offerings, monitor usage in near real-time, and rebalance capacity to drive massive efficiency gains.
You'll work on high-impact distributed systems that support low-latency, high-volume, mission-critical customer scenarios , solving complex challenges in resource orchestration , telemetry , and performance optimization . You'll collaborate across Azure, OpenAI, CoreAI Services, and infrastructure teams to shape the future of scalable, cost-efficient AI.
Responsibilities:
- Design and implement scalable services for GPU scheduling, allocation, and optimization across diverse AI workloads.
- Build reliable orchestrations to monitor GPU usage near real time and drive automated rebalancing decisions.
- Integrate with fleet health dashboards and GPU lifecycle management systems to ensure reliability and performance.
- Collaborate with partner teams across Azure ML, AOAI, and Core AI to align architecture, APIs, and operational readiness.
- Contribute to platform evolution supporting new hardware and real-time inference APIs.
Qualifications:
Required/Minimum Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C#, Go, or Python
- OR equivalent experience.
- 2+ years of experience with distributed systems or cloud infrastructure
- 2+ years of experience with telemetry, metrics pipelines, or resource scheduling systems
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.
- Familiarity with cloud platforms (Azure, AWS, Google Cloud Platform) and container orchestration (Kubernetes, Service Fabric)
- Exposure to GPU-based workloads, model serving, or AI infrastructure
- Experience working with real-time systems or high-throughput APIs
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br>
Microsoft posts positions 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, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#AIPLATFORM
#AzureOpenAI
#llm
#distributedsystems
#MicrosoftAI
#AICoreServices
#CoreAI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.