Jobs at Microsoft

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.

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.

Provides advanced technical support for Microsoft customers by troubleshooting complex issues involving Teams, Skype for Business, Windows Server, Active Directory, networking, VoIP, authentication, and unified communications. Owns customer cases, coordinates escalations with engineering and product teams, manages incident requests, communicates proactively with stakeholders, and develops support resources. Requires strong troubleshooting, collaboration, case management, and technical analysis skills.

Provide advanced technical support for complex Microsoft customer issues. Troubleshoot Teams, Skype for Business, Windows Server, Active Directory, networking, authentication, VoIP, SIP, and unified communications problems. Manage escalations, incident requests, engineering collaboration, customer communications, and long-running production cases. Analyze network captures and trace logs, support hybrid environments, and contribute to technical communities.

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.

Lead full-chip and package integration for DPU ASICs from early planning through tapeout signoff. Drive die/floorplanning, C4/microbump and RDL optimization, power domain management, vendor collaboration, integration milestones, and resolve power/integration issues across teams.

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.

Leads technical sales engagements for Microsoft AI solutions, including Copilot, Copilot Studio, Agents, Teams Phone, and frontline worker offerings. Responsibilities include delivering demos and envisioning sessions, designing secure enterprise architectures, supporting pilots and co-sell opportunities, removing technical blockers, generating pipeline, documenting close and consumption plans, and coordinating handoffs to customer success and partners. The role also provides product feedback, supports competitive wins, and maintains technical certifications and team knowledge-sharing practices.

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.

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.

Manage PMO support for Microsoft consulting engagements, including project financials, staffing, risk and issue management, reporting, quality, governance, resource coordination, consumption tracking, subcontractor setup, billing escalations, and project closure. Partner with Area Project Managers and delivery teams to improve process adherence, maintain project hygiene, monitor budgets and forecasts, support customer satisfaction, and ensure successful execution across the engagement lifecycle.

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.

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.