Jobs at Microsoft

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.

Conduct applied AI and machine learning research for Microsoft products. Design, train, fine-tune, and evaluate models including LLMs and SLMs; analyze large datasets; build scalable prototypes; design experiments and benchmarks; optimize model performance; and collaborate with researchers, engineers, and product teams to deploy research innovations. Document findings through technical reports, publications, patents, or open-source work.

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.

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.

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.

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.

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.

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.

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 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.

Manage enterprise accounts to drive renewals, adoption, upsell/cross-sell and customer satisfaction. Develop strategic account plans, orchestrate cross-functional teams and partners, lead negotiations, and act as trusted advisor to achieve revenue and consumption targets.

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 and coach a team of solution architects to design, deploy, and govern Microsoft Cloud and AI solutions; drive customer engagement, architecture decisions, risk mitigation, practice development, and thought leadership to ensure delivery, scalability, and business value across customer portfolios.