Top Tech Jobs & Startup Jobs

Lead and grow an engineering team building SDKs, UIs, and agentic developer experiences for Generative AI. Set technical/product direction, coach engineers, ensure production reliability, convert customer feedback into platform features, and drive AI-first engineering practices and incident readiness.

Early-career software engineer supporting the Entra Authentication stack: gather requirements, create design docs, implement and reuse code, estimate tasks, monitor services as DRI for simple incidents, and improve availability, reliability, observability, and performance at scale.

PhD-level applied science intern role to design, train, and scale ML models (search, ranking, recommendation, retrieval, NLP, CV). Responsibilities include dataset curation, building ML/data pipelines, running experiments and statistical evaluations, and collaborating with engineers and product teams to productionize AI solutions using cloud technologies.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Lead data science strategy across complex customer engagements, turn ambiguous business problems into repeatable ML solutions, define modeling and evaluation standards, drive data readiness and MLOps practices, mentor teams, produce reusable IP, and represent Microsoft in executive and thought-leadership forums.

Lead product strategy and roadmap for Microsoft's agentic engineering platform. Prototype with AI developer tools, define developer onboarding, governance, and agent/plugin ecosystems, measure adoption and productivity impact, and ship scalable AI-assisted workflows across engineering orgs while partnering with engineering, design, and data teams.

Lead architecture, integration, validation, optimization, and deployment of networking hardware for Microsoft's MAIA AI platform. Drive qualification of switches, NICs, PHYs, optics, SerDes, and AI fabric performance tuning, and build telemetry, debugging, and automation for large-scale AI training and inference systems. Influence technology roadmap and collaborate across silicon, firmware, hardware, software, validation, manufacturing, and Azure teams.

Lead product marketing for Microsoft AI Content: craft external narratives, define AI quality standards and guardrails, own audience and format strategies globally, partner with Sales to translate capabilities into revenue narratives, and serve as a cross-functional steward aligning Product, Policy, Monetization, and Leadership.

Lead and translate AI research into developer products: build datasets from public and internal code, design and run large-scale ML experiments, train state-of-the-art models, collaborate with product teams across Microsoft and GitHub, and evaluate and iterate AI systems for software engineering.

Lead system-level signal and power integrity for high-performance SoCs and platforms. Design, model, and simulate end-to-end power delivery (DC/AC/transient), validate I/O/link performance, and drive PI solutions across silicon, package, board, and platform with cross-functional stakeholders to meet data-center/HPC performance and scaling requirements.