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Microsoft Research is looking to solve the problem of transforming scientific research through cutting-edge technology, enabling discoveries that shape the future of AI by designing, deploying, and supporting next-generation orchestration systems that power large-scale AI workloads.

Requirements

• 2+ years of experience managing and supporting Graphics Processing Unit (GPU) clusters (e.g., NVIDIA, AMD) with an emphasis on uptime, availability, and proactive maintenance.
• 1+ year(s) of experience with Kubernetes and Volcano or other advanced workload scheduling frameworks for large-scale Artificial Intelligence/Machine Learning (AI/ML) jobs.
• 1+ year(s) of experience troubleshooting across hardware, software, networking, and system logs, with a proven ability to resolve complex issues.
• Proficiency with observability and monitoring platforms (e.g., Prometheus, Grafana) for tracking system health, performance, and service-level indicators.
• Familiarity with CUDA programming, GPU optimization, or large-scale model training environments.
• Experience designing or optimizing orchestration platforms for hybrid or distributed systems spanning edge and cloud.
• Prior experience in log analysis, automation, and proactive issue detection to minimize downtime and maximize service health.

Responsibilities

• You will develop and operate orchestration platforms using Kubernetes and Volcano, ensuring seamless job submission, scheduling, and monitoring for large-scale AI workloads.
• Contribute to service design by recommending optimal configurations with awareness of cost, security, resiliency, and scalability.
• Refine cluster and scheduler configurations to improve availability, reliability, observability, and performance.
• Collaborate closely with Edge, Networking, Reliability, and Automation teams to integrate orchestration with hybrid and distributed systems.
• Take part in design reviews, share learnings, and help define measurable health and performance metrics for orchestration services.
• Stay informed of evolving orchestration technologies, adopting new solutions and proactively seeking opportunities to improve.

Other

• Bachelor's Degree in Computer Science, Information Technology, Electrical Engineering, Data Science, Cybersecurity, or related field AND 2+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls
• Ability to collaborate across distributed global teams, communicate effectively, and meet uptime and service-level objectives.
• Embody our culture and values.
• Microsoft will accept applications for the role until October 3, 2025.
• 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.