This role is for a Principal/Senior Software Engineer on the Experimentation Platform team within CoreAI at Microsoft. The platform enables high-scale online experimentation to accelerate product learning and drive progress across Microsoft's AI ecosystem. The engineer will design and build services for rapid iteration in AI systems and product features, empowering others to measure impact and validate hypotheses. The role involves developing critical components of a large-scale experimentation platform, focusing on distributed systems, service reliability, and experimentation methodologies.

This role is for a Principal Software Engineer on the Experimentation Platform team within Microsoft's CoreAI division. The platform enables high-scale online experimentation for AI systems and product features, accelerating product learning and driving progress across Microsoft's AI ecosystem. The engineer will lead architecture and development of this critical infrastructure, focusing on systems that help teams ship better AI experiences faster through rigorous experimentation and responsible AI practices.

Senior Software Engineer to join the on-device ML team for the Edge browser. The role involves delivering on-device ML capabilities via web APIs, integrating models and runtimes into Edge, developing evaluation pipelines and datasets, and contributing to the Chromium project. The focus is on shipping AI-powered features to end-users.

Senior Researcher at Microsoft Research focusing on advancing software engineering through rigorous research, integrating AI and agent technologies into programming languages, testing, and automated reasoning. The role involves driving high-impact research, developing new ideas, building state-of-the-art systems, and preparing technical papers and presentations.

This role focuses on designing, developing, and evaluating components for analog electronic devices, specifically within the Microsoft Quantum team. The engineer will define design approaches, technical specifications, and test requirements, leveraging industry-standard electronic design automation and electromagnetic simulation toolsets. A key aspect involves developing and refining process-design-kit (PDK) requirements for superconducting circuit technologies and collaborating with various teams to codesign for performance, scalability, and reliability. The role also includes leading the design and layout of superconducting cryogenic control and readout circuits and establishing physical-design, layout, and verification workflows. While the role mentions leveraging AI tools to accelerate discovery and drive innovation, the core craft is hardware engineering for quantum computing, not AI/ML model development.

This role focuses on building and scaling AI-powered growth systems for Microsoft's core AI products like GitHub Copilot and VS Code. The engineer will design, ship, and iterate on growth experiments, improve A/B testing frameworks, and use data to drive decisions, aiming to accelerate user adoption and engagement with AI features.

Senior Software Engineer role at Microsoft Azure Data engineering team, focusing on designing and building internal tools, engineering systems, and automation capabilities to enhance the quality and reliability of Power BI Desktop and Service. The role involves end-to-end tool development, including architecture, backend services, dashboards, telemetry integration, and AI-powered workflows, with a focus on integrating GenAI into developer workflows and modernizing engineering processes.

Principal Software Engineer focused on building AI-first growth and experimentation systems for Microsoft's CoreAI organization, which powers products like GitHub Copilot. The role involves architecting and implementing foundational engineering systems for measuring, experimenting with, and scaling AI experiences across Microsoft products, with a strong emphasis on engineering excellence, reliability, and driving measurable business outcomes.

Senior Product Manager for Azure High Performance Computing & AI team, responsible for defining, building, and managing AI supercomputers. The role involves understanding customer needs, identifying pain points, collaborating with SREs and developers to resolve challenges, and introducing new tooling and features to ensure a world-class customer experience on Azure infrastructure.

This role is for a Manager/Sr. Manager of AI Strategy within Microsoft's Office of the CEO. The focus is on shaping Microsoft's AI strategy across infrastructure, platform, and applications/agents, including thought leadership, rethinking the economics of AI, and translating strategy into product reality. It involves analyzing M&A, market trends, and influencing product direction. The role requires a background in strategy, consulting, or product management and collaboration across various company teams.

Senior Site Reliability Engineer for Microsoft Teams Core Services Infrastructure and Security team, focusing on building and operating mission-critical distributed systems for real-time communication. Responsibilities include network security, gateway infrastructure, routing, load balancing, DNS, CDN, monitoring, and observability. The role involves hands-on implementation, design discussions, incident response, and continuous improvement using automation and potentially AI-enabled tooling.

Senior Software Engineer role on the Azure Data engineering team, specifically focusing on the Power BI business intelligence product. The role involves technical planning, implementation, and monitoring of features, collaborating with program managers and partner teams, and mentoring junior developers. While the core product is BI, there's an emphasis on building the data platform for the age of AI and leveraging generative AI for copilot automation.

This role is for a Principal Software Engineer on the Azure Data engineering team, focusing on building and maintaining core components of the control plane for Azure Database for MySQL. The team's mission is to build the data platform for the age of AI, powering a new class of data-first applications. The role involves technical leadership, architecture, design, development, and maintenance of large-scale distributed systems, with a focus on availability, performance, and operational simplicity. While the team's mission is AI-centric, the core responsibilities are in building and operating database services, not directly developing AI models or agents.

This role focuses on building and owning end-to-end technical vision and execution for infrastructure analytics within Microsoft AI. The primary responsibility is to turn raw telemetry into trusted insights on utilization, capacity, readiness, and efficiency, supporting leadership in making informed investment and planning decisions at scale. The role involves designing and building scalable data pipelines, defining core metrics, architecting self-service dashboards and APIs, and ensuring data quality and governance.

Research intern role focused on optimizing storage systems for AI workloads, including training, checkpointing, and inferencing. The role involves working with leading-edge AI customers to gain insights into their needs.

Senior Software Engineer role focused on building and scaling AI infrastructure within Azure's specialized division. The role involves using AI tools in the SDLC, reviewing code, debugging, and collaborating with partner teams to ensure end-to-end functionality, scalability, and performance of AI workloads on the Azure platform. Experience in High Performance Computing (HPC)/AI infrastructure is preferred.

This role is for a Principal Consultant focused on the technical execution and delivery of complex client projects within Microsoft's Industry Solutions - Global Center Innovation and Delivery Center (GCID). The role emphasizes embedding AI-first principles and AI-native thinking into delivery models, leveraging AI tools like GitHub Copilot to drive engineering excellence and modernize applications. While AI is a significant theme and toolset, the core responsibility is project delivery and technical leadership, not direct AI model development or research.

Software Engineer for Microsoft Purview, focusing on data protection and governance solutions. The role involves using AI tools within the SDLC, contributing to architecture, and developing automation for production and deployment. It emphasizes cost-optimization and resource utilization for services.

Senior Researcher in Data Systems at Microsoft Research focusing on query execution, data storage, resource management, data discovery, and data preparation. Special interest in leveraging AI/ML for data management challenges. Past research has influenced products like SQL Server and Azure SQL Database. Requires a Doctorate or equivalent experience and a track record of research accomplishments, including major conference publications.

This role is for a Senior Thermal & Mechanical Engineer focused on cryogenic ASIC integration for quantum computing. While the role mentions leveraging AI tools for efficiency and working in an AI-first environment, the core responsibilities and deliverables are in thermal and mechanical engineering for quantum hardware, not in building or directly applying AI/ML models.

Software Engineer II role focused on building an AI-powered engineering system for Windows OS updates, aiming for efficiency, scale, and re-bootless deployment. The role involves leveraging AI to solve engineering and scale problems, working with cloud-native applications on Azure, and utilizing OpenAI APIs or similar LLM platforms. Requires strong understanding of Windows OS internals and experience with databases.

Product Manager II for Azure HPC/AI team focusing on networking for large-scale AI training supercomputers. The role involves working with AI compute product managers, AI model developers, and datacenter experts to ensure operational uptime and workload throughput for AI supercomputers. The goal is to support the training of advanced AI models for consumer and enterprise services.

This role is for a Senior Software Engineer on the Microsoft Azure High Performance Computing & AI Engineering team, responsible for managing the core platform and fleet of AI High Performance Computing products. The role involves designing and developing capabilities to monitor and operate supercomputers at scale, diagnosing and troubleshooting large-scale systems, and creating data pipelines for telemetry and alerts. While the role supports AI customers and uses AI HPC products, the core craft is infrastructure engineering and operations, not direct AI/ML model development.

This role is for a Principal Consultant focused on AI-first infrastructure delivery. The consultant will lead the technical execution of complex client projects, embedding AI-native thinking into delivery models. Responsibilities include designing, building, and optimizing cloud and on-premises infrastructure solutions, leveraging automation and intelligent orchestration, and ensuring secure, scalable, and high-performing environments. The role requires proficiency in Python for AI integration and scripting, and experience with Azure AI Services.

This Principal Consultant role focuses on leading the technical execution and delivery of complex client projects, with a strong emphasis on embedding AI-first principles and leveraging AI tools like GitHub Copilot across the software development lifecycle. The role involves architectural ownership, driving engineering excellence, and ensuring solutions are intelligent, scalable, and aligned with business outcomes within an enterprise context.

Senior Software Engineer role focused on developing and operating services for Microsoft Devices (Surface, Xbox), involving supply chain, manufacturing, and delivery. The role emphasizes using AI tools within the SDLC, code reviews, debugging, system architecture, and automation, with a focus on product delivery and operational excellence.

This is a Research Intern position within Microsoft's Office of the Chief Scientific Officer, focusing on strategy and opportunities at the frontiers of science, engineering, and responsible AI. The intern will collaborate with researchers on various projects, contributing to research and development strides in areas like AI, biology, and responsible AI, with a focus on societal influences.

Senior Software Engineer (full-stack) for Microsoft's MSN team, focusing on creating impactful web experiences for over 1 billion users. The role involves technical leadership, collaborating with frontend and backend teams, designing, coding, and operationalizing experience and services at hyper scale. Experience with modern front-end frameworks, cloud architecture, and A/B experimentation is required. The role contributes to a personalized content feed that leverages AI/ML for content moderation, personalization, and content entry points.

Software Engineer role focused on accelerating the adoption of Copilot and Microsoft 365 by delivering embedded experiences across the Microsoft 365 suite. The role involves designing and developing end-to-end features, scaling Azure-hosted services, or delivering high-performance native experiences, with a focus on customer-centric design and data-informed decision-making to drive business growth.

Software Engineer II role focused on designing and building next-generation networking infrastructure for large-scale AI training and inference in Azure Cloud. The role involves developing high-performance, low-latency, and reliable networking capabilities to support distributed AI workloads, working at the intersection of AI and high-performance computing.

Software Engineer role focused on full-stack and low-code development, integrating AI agents into production services, and building scalable business applications using cloud technologies like Azure and Power Platform. The role involves designing, developing, and deploying solutions, collaborating with stakeholders, and ensuring quality and compliance.

Principal Product Manager to define and drive the strategy, vision, and execution for AI agents that elevate quality engineering across specialized enterprise workloads like SAP, focusing on reliability, resilience, and security within Microsoft Azure.

This role focuses on building and scaling the backend platform for Microsoft's consumer AI products, specifically powering Copilot. It involves designing, developing, and maintaining AI Platform services, collaborating with AI researchers and engineers, and ensuring the reliability and scalability of platform components. The role requires strong experience in backend technologies, public cloud infrastructure, and production software development.

This role is for an iOS engineer on the Native Engineering team responsible for building the core experience of Microsoft's AI assistant, Copilot, on iOS. The role focuses on developing consumer-grade mobile applications and collaborating with product management, design, and AI research teams to deliver AI-powered features to users.

Backend engineer for Microsoft's Copilot AI assistant, focusing on building APIs for mobile apps, optimizing user growth, engagement, and retention. Collaborates with various teams to deliver scalable infrastructure and impactful results in a fast-paced consumer product environment.

Senior Software Engineer in the Applied Sciences Group (ASG) at Microsoft, focusing on creating innovative, machine learning-powered features across Windows and other Microsoft products. The role involves end-to-end feature development, from ideation to deployment, and collaborating with researchers and designers to deliver user-centered solutions. Experience with ML models in production, semantic search, and voice interaction is a plus.

This role is for a Technical Program Manager focused on compute infrastructure for large-scale AI/ML training and serving of foundation models. The role involves driving projects, collaborating with various teams, leveraging data for optimization, and advocating for resource needs. It is part of Microsoft AI's Superintelligence Team, aiming to push the boundaries of AI while ensuring control and safety.

Research Intern position focused on computational social science, exploring the impact of AI-based tools at individual and societal levels. This includes research on AI-augmented human cognition, decision-making, and the economics of agentic markets. The role involves leveraging digital data and designing experiments to understand human behavior and the implications of AI.

Research intern to design and develop tools for AI datacenter network observability, focusing on high-performance tracing and analysis systems for packet-level behavior at high speeds. The role involves prototyping solutions on real hardware and collaborating with engineers to improve reliability and explainability of AI intra-datacenter networking.

Director of AI Strategy within the Office of the CEO, focusing on Microsoft's AI strategy across infrastructure, platform, and applications/agents. This role involves thought leadership, rethinking the economics of AI, and translating strategy into product reality, including M&A. The position requires influencing senior leadership and charting AI journeys for customers.

This role focuses on ensuring the reliability, performance, and availability of large-scale AI training infrastructures, specifically GPU clusters. It involves designing and developing hardware health monitoring and diagnostic frameworks, building predictive analytics pipelines using telemetry data, and leading incident triage for hardware anomalies. The goal is to drive automation in health management and partner with cross-functional teams to improve hardware design for reliability.

Research intern focused on data systems, with potential to leverage AI/ML for data management challenges. The role involves working with researchers on innovative solutions and contributing to publications.

Research Intern position in Microsoft's Networking Research Group, focusing on networked systems including AI's role in networking challenges. The internship involves contributing to research agendas, collaborating with researchers, and potentially working on systems, sensing, security, AI, edge computing, optimization, and probability theory.

Senior Security Researcher role focused on researching emerging attack vectors, analyzing detection/prevention gaps, and designing/developing solutions. The role involves guiding the design of AI-based solutions for security problems and has a preferred qualification in AI workflows or generative AI/LLM frameworks. The primary focus is on building security solutions, with AI being a tool to achieve that.

This role is a Customer Experience Leader for Asia at Microsoft, focusing on empowering customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services. The role involves leading customer-facing technical and service leaders, managing critical customer situations, driving proactive service and customer success models, and engaging with executives. While the role aims to accelerate AI transformation for customers and mentions contributing to evolving service delivery toward AI-enabled models, the core function is customer experience leadership and support, not direct AI/ML development or research.

Senior Embedded Software Development Engineer to build core embedded software for quantum readout instruments, interfacing with FPGA/SoC hardware. The role involves designing, developing, and testing C++ systems for controlling and measuring topological qubits, focusing on high-performance data paths, hardware-software integration, and reliable, diagnosable services. Collaboration with quantum experimentalists and FPGA engineers is key. The role mentions leveraging AI tools for innovation and efficiency, and familiarity with building AI agents/copilots is listed as a requirement.

Principal Customer Experience Engineer for Microsoft Security Cloud, focusing on pre-sales, solution architecture, delivery, and program improvements. The role involves strategic technical leadership, customer advocacy, and identifying systemic issues, with an emphasis on adapting and using AI to improve repeatability and scale.

This role focuses on developing and executing the global partner ecosystem strategy for Microsoft Fabric, specifically targeting System Integrator (SI) partners. The Global Partner Success Lead will recruit, enable, and drive success with these partners in delivering analytics and AI solutions, aligning partner offerings with business objectives to accelerate customer adoption and value realization. The role involves strategic planning, program management, relationship management, cross-functional coordination, and ensuring partners are proficient in Fabric solutions, including AI/ML capabilities.