4 days ago
Base Salary
$120k - $261k/yr
Responsibilities
- Design, deploy, operate, and troubleshoot secure distributed AI infrastructure, including multi-node, multi-GPU training and reinforcement-learning environments.
- Build fleet-level automation and infrastructure-as-code for remediation, repeatable configuration, and drift detection.
- Develop production-ready solutions from ambiguous research and infrastructure requirements.
- Partner with engineers, researchers, and stakeholders to define requirements, prioritize solutions, and align on architecture, security, reliability, dependencies, and delivery.
- Build automation for rapid deployment and operation of AI models and supporting infrastructure.
- Participate in design and code reviews, technical collaboration, mentoring, and cross-team alignment.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Experience designing, deploying, and operating cloud infrastructure, including distributed multi-node, multi-GPU training environments.
- Experience developing software and automation for production systems.
- Experience deploying and operating AI infrastructure in Azure, including GPU-backed compute, networking, model serving, Azure AI Foundry, or Azure Machine Learning.
- Experience with reinforcement-learning stacks such as SkyRL, verl, or OpenRLHF and agent or sandbox tooling such as Harbor.
- Experience with containers, infrastructure-as-code, CI/CD, monitoring, and observability.
- Experience diagnosing GPU, interconnect, or performance issues in GPU or high-performance computing infrastructure.
- Proficiency writing clean, efficient, maintainable Python code.
- Understanding of LLM inference, model deployment, and the performance, capacity, and reliability requirements of large AI models.
- Experience driving technical projects from ambiguous requirements to production, including stakeholder alignment and architectural decisions.
- Experience in cybersecurity, AI security, or red teaming.
- Ability to meet citizenship, export-control eligibility, Microsoft, customer, and government security screening requirements, including the Microsoft Cloud Background Check.
Benefits
- Typical U.S. base pay range is USD $119,800-$234,700 per year; different ranges apply to the San Francisco Bay Area and New York City metropolitan area.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.