Jobs at Microsoft

Software Engineering Apprentice role for 2026 computer science or engineering graduates without prior full-time employment. Responsibilities include solving software problems, gathering requirements, developing and testing Java, Python, and HTML5 programs, documenting code and tests, and improving product reliability, performance, observability, and efficiency. Candidates collaborate with global teams, learn new technologies and engineering practices, and apply computer science fundamentals to real-world projects.

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.

Senior Data & AI consultant responsible for designing, developing, and delivering cloud data and AI solutions on Microsoft platforms. Lead data engineering, platform modernization, ML readiness, MLOps, and Azure-based deployments while collaborating with customers and teams to drive adoption and technical excellence.

Data Science Interns use machine learning, statistics, experiments, algorithms, and data exploration to solve business and product problems. They formulate analytical approaches, interpret and validate results, collaborate with stakeholders, produce actionable insights, and help improve Microsoft products and customer experiences through peer review and iterative analysis.

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.

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.

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.

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 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.

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.

Work on real-world software projects: design, develop, test, and improve software. Collaborate with stakeholders, learn new technologies, apply engineering principles, and enhance product reliability, performance, and observability in a team environment.