Jobs at Microsoft

Design, build, and operate scalable, reliable, secure distributed systems for Microsoft Advertising’s billing platform. Lead architecture and technical design for complex features, drive projects from conception through production, improve service health using telemetry and customer insights, and influence engineering decisions. The role involves large-scale cloud services, platform modernization, operational excellence, and collaboration across teams.

Performs semiconductor physical design and integration at block, subsystem, sub-chip, and full-chip levels. Responsibilities include floorplanning, synthesis, placement, clock-tree synthesis, routing, static timing, physical verification, formal equivalency, power optimization, IR-drop, and electromigration analysis. The engineer may develop and automate physical design flows, evaluate technology and IP options, support vendor selection, communicate program risks, and contribute to complex ASIC tapeouts.

Designs and delivers secure, scalable Azure infrastructure and AI solutions for U.S. government customers. Builds customer relationships, leads architecture sessions, drives cloud migrations and modernization across infrastructure, data, SAP, and AI workloads, and ensures customer environments meet health, resiliency, security, and performance goals. The role also manages technical delivery, resolves blockers, develops reusable intellectual property, supports go-live outcomes, and contributes to cloud adoption, customer success, and pipeline growth.

Define the long-term architecture and technical vision for Windows Search, including indexing, hybrid retrieval, ranking, semantic graphs, and on-device AI. Design and optimize models for CPUs, GPUs, and NPUs under strict latency, power, memory, and privacy constraints. Lead cross-functional efforts across OS engineering, hardware, product, and research teams; guide production deployment, patents, publications, technical standards, and mentorship for senior researchers and engineers.

Design, prototype, and ship scalable AI-native software and intelligent services for Microsoft’s global sales ecosystem. Responsibilities include simplifying and automating business workflows, orchestrating agentic systems, integrating data and services, debugging production issues, improving reliability and performance, and building secure, compliant, responsible AI solutions. The role involves cross-team collaboration, experimentation, production-quality coding, and reviewing AI-generated code with engineering rigor.

Performs technical authority and operational support for large-scale data center mechanical systems. Develops mechanical designs for new construction and infrastructure upgrades, coordinates maintenance and safety procedures, supports redundant cooling and backup power systems, and oversees mechanical suppliers. Collaborates with operations and design teams to maintain 24x7x365 data center availability, safety, security, and compliance.

Designs high-impact executive presentations, visual narratives, dashboards, infographics, and data visualizations for leadership, board, customer, investor, and employee audiences. Partners with executives and communications teams to translate complex business and technical concepts into persuasive stories. Establishes presentation standards, reusable templates, design systems, and visual communication best practices while maintaining high quality, confidentiality, and effectiveness under tight deadlines.

Handles moderate to highly complex customer and partner escalations involving Microsoft products and services. Acts as the primary customer contact, investigates issues, provides status updates, coordinates internal engineering and operations teams, removes resolution barriers, manages expectations, and mentors team members. The role requires strong judgment, communication, stakeholder management, prioritization, problem-solving, Microsoft product knowledge—especially Dynamics—and the ability to manage sensitive issues under pressure.

Design, develop, and operate scalable identity and access management platforms, including authentication, authorization, provisioning, access governance, privileged access, and identity protection. Own initiatives end to end from architecture through production, while improving reliability, observability, automation, security, and compliance. Collaborate with engineering, security, product, and operations teams; lead technical decisions, investigate incidents, mentor engineers, and deliver secure cloud-native distributed systems at global scale.

Build developer tools and workflows for AI development, optimization, and deployment on Windows and Edge devices. Design and implement CLIs, SDKs, APIs, and VS Code integrations while improving AI software stack performance, compatibility, and developer experience. Collaborate across Windows, AI/ML, hardware, and open-source teams, and lead projects from design through delivery. Preferred work includes AI frameworks, inference runtimes, GPU acceleration, compilers, PyTorch, on-device AI, model optimization, heterogeneous computing, and DirectX technologies.

Manage customer relationships and success plans that connect business priorities to Microsoft cloud and AI outcomes. Coordinate Microsoft, partner, and customer teams to accelerate adoption, strengthen customer health, deliver success programs, and realize value. Identify risks and adoption blockers, drive resolution plans, monitor progress, and maintain accountability for customer commitments while developing business, technical, and customer success expertise.

Leads monthly close, forecasting, financial modeling, revenue and gross margin analysis for Microsoft’s Server Licensing and Cloud Infrastructure business. Develops executive reporting and insights, analyzes KPIs and business trends, partners with finance, accounting, engineering, and business leaders, and provides recommendations supporting investment decisions, governance, reporting accuracy, and process improvements.

Supports technology consulting engagements from pre-sales through delivery. Responsibilities include gathering customer requirements, planning projects, managing risks and dependencies, implementing technical solutions, resolving issues, improving stakeholder satisfaction, leveraging intellectual property, expanding cloud technology adoption, and maintaining technical readiness and operational compliance.

Manage sensitive and escalated customer and partner issues, coordinating internal teams, vendors, and stakeholders to drive resolution. Lead strategic projects, mentor support managers, improve resolution processes, identify recurring issues, establish protocols, and communicate with senior and C-level stakeholders. The role requires Microsoft product expertise, cloud certification, incident and escalation management experience, and successful completion of Microsoft’s Cloud Background Check.

Develops AI and natural language solutions for Microsoft 365 Copilot. Responsibilities include identifying user requirements, designing product and platform solutions, writing and optimizing code, driving project and release plans, and improving product reliability, observability, efficiency, and performance. The role collaborates with product managers, designers, engineers, and scientists to ship innovative, high-quality software and intelligent experiences.

Develop scalable stress, validation, benchmarking, and performance tooling for Microsoft MAIA AI accelerator platforms. Build workloads and kernels using Python, C++, PyTorch, Triton, and custom SDKs; integrate compiler and runtime systems; automate deployment, telemetry, regression testing, and diagnostics; and analyze performance across compute, memory, networking, and storage. Collaborate with silicon, compiler, runtime, validation, and AI framework teams to support platform bring-up, reliability, qualification, and fleet readiness.

Leads customer success planning for strategic Microsoft customers, aligning cloud and AI investments with business outcomes. Builds stakeholder relationships, establishes governance, orchestrates Microsoft, partner, and customer teams, manages adoption risks and delivery dependencies, and drives measurable value realization and sustained customer growth.

Build executive relationships with CISOs, CIOs, and senior technology leaders; sell and position Microsoft Security solutions; develop and close enterprise opportunity pipelines; translate security, compliance, governance, and risk requirements into business solutions; lead virtual sales and partner teams; support cloud modernization, data protection, security operations, and AI transformation; monitor cybersecurity trends; and drive customer adoption, measurable value, revenue growth, and account expansion.

Design, develop, test, and operate distributed AI infrastructure services supporting large-scale training and inference. Build C# control-plane services on Service Fabric or Kubernetes, improve reliability, efficiency, security, and latency, and provide on-call operational support. Collaborate with engineering, product, research, and data science teams while developing expertise in AI/ML concepts. Contribute technical leadership, rigorous testing, data-driven troubleshooting, and high-quality service design for the GPU scheduling subsystem.

Leads complex Microsoft consulting engagements and programs, owning project execution, financial performance, profitability, forecasting, contractual commitments, customer satisfaction, risk management, governance, escalations, compliance, and senior stakeholder relationships. Manages project teams and cross-functional collaboration while delivering cloud and digital transformation outcomes, improving consumption growth, and ensuring predictable, high-quality delivery across a portfolio of customer engagements.