Jobs at Microsoft

Investigate and resolve customer technical issues involving Windows and related server technologies. Collaborate across teams, use troubleshooting tools, share technical knowledge, complete readiness training, identify product defects, and escalate issues to improve Microsoft products and support processes.

Supports end-to-end product design by researching user needs, creating visual and interaction designs, developing wireframes and journey maps, and collaborating with engineering, marketing, program management, and development teams. The intern contributes to product features, UX improvements, design quality assurance, product narratives, and customer feedback analysis under guidance.

Investigate and resolve customer technical issues involving virtual desktops, remote desktop services, VMware, Citrix, Windows, printing, user profiles, and application management. Share technical knowledge, build peer communities, complete readiness training, identify product defects, and escalate issues to support Microsoft product improvements.

Early-career Customer Success Account Manager supporting a shared portfolio within a pod model. Responsibilities include tracking account health, cloud and AI adoption, delivery milestones, support signals, dependencies, risks, and remediation follow-ups. The role synthesizes account and portfolio intelligence, coordinates internal execution, and surfaces escalation risks under the guidance of senior CSAMs and managers. It requires strong communication, AI-first working practices, and 2–4 years of experience in program management, customer-facing operations, technology delivery, or analytics.

Design and verify complex CPU/SoC IP by planning verification, building constrained-random UVM or C/C++ test environments, or using formal SVA tools. Debug RTL (Verilog) in simulation/emulation, write functional coverage, and close verification holes to meet tape-out requirements.

Investigate and resolve customer technical issues, collaborate across teams, use troubleshooting tools, build peer knowledge communities, develop technical proficiency, and escalate product defects to support product and process improvements.

Lead STA execution for DPU ASICs from early design to signoff. Develop and maintain STA methodology, perform timing planning and analysis, drive closure and ECO flows, coordinate cross-team timing resolution, and ensure successful tapeout signoff.

Lead pre-sales and technical delivery for Microsoft Industry Solutions, mapping customer needs to Microsoft Cloud and AI solutions. Drive project planning, risk mitigation, stakeholder engagement, IP reuse, and business development while mentoring teams and ensuring operational compliance.

Owns, investigates, and resolves customer technical issues using troubleshooting tools and cross-team collaboration. The role includes sharing technical knowledge, developing support proficiency through training, identifying product defects, and escalating issues to improve Microsoft products and processes. Candidates need technical support or IT experience, strong English communication skills, and the ability to pass Microsoft Cloud Background Check screening.

Develop, test, debug, document, and maintain software systems, tools, and applications. Contribute to feature requirements, architecture, coding, design validation, work estimation, automation, deployment, and live-service operations. Participate in on-call support, troubleshoot service issues, and implement reliable, maintainable, and extensible solutions under technical guidance.

Owns, investigates, troubleshoots, and resolves customers’ technical issues. Collaborates across teams, uses troubleshooting tools and practices, participates in peer communities, develops technical expertise through training, and identifies and escalates product defects to support product improvements.

Conduct security research involving malware, threats, vulnerabilities, adversary tracking, threat intelligence, detection, remediation, and reverse engineering. Analyze threat trends, process intelligence reports, identify security defects, contribute code and automation, support incident response, and use research results to improve security products and services. The role focuses on cloud-scale threat detection using machine learning and behavioral profiling.

Supports research and product innovation by analyzing large-scale datasets, improving machine learning algorithms, designing experiments, preparing modeling data, developing scalable AI prototypes, and assisting with feature ideation and data quality improvements under senior guidance.

Lead verification for complex CPU/SoC IP and subsystems: define verification strategies and test plans, build verification environments, run and debug simulations/emulations, apply random-stimulus and coverage-driven techniques, and mentor engineers while improving verification methodologies and tools.

Designs and leads Azure AI and TokenOps architectures across Asian markets. Responsibilities include customer workshops, pilots, agent and RAG architecture, model routing and evaluation, observability, FinOps unit economics, enterprise integration, security, Responsible AI, and regulatory compliance. The role coordinates customers, partners, Microsoft stakeholders, and regional delivery teams while creating reusable, locally adaptable architecture and delivery patterns.

Defines product vision and strategy, identifies customer needs and market opportunities, prioritizes feature investments, evaluates tradeoffs, and drives product roadmaps. Partners cross-functionally with Product Marketing, Business Planning, and Engineering on release criteria, customer acquisition, usage, retention, and monetization strategies. The intern contributes to real-world product initiatives while building consensus and aligning stakeholders.

PhD intern will research and prototype AI techniques for Azure SQL Database, analyze algorithms on large datasets, build scalable ML systems, collaborate with researchers and product teams, and contribute to technology transfer and publications.