Top Tech Jobs & Startup Jobs

Lead and grow an engineering team to design, build, and operate AI-infused, enterprise-scale cloud applications. Drive technical strategy, architecture, operational excellence, AI-native engineering adoption, cross-team alignment, and delivery of secure, scalable microservices and platform solutions on Azure.

Drive strategies and partnerships with silicon companies to align roadmaps, evaluate silicon technology/IP, negotiate complex business deals, and coordinate cross-functional engineering, marketing, and executive stakeholders to deliver integrated silicon-enabled Windows and device experiences.

Lead strategy and execution for partner and channel monetization as Microsoft shifts to consumption- and commitment-based AI and cloud models. Build data-driven business cases, define partner engagement and economics, conduct market and partner research, drive cross-functional alignment, and translate strategy into roadmaps and change plans to preserve partner value and accelerate growth.

Hands-on principal engineer driving physical implementation, timing closure, and physical verification for analog and mixed-signal IP. Owns Fusion Compiler APR flows, floorplanning, placement, routing, ECOs, timing debug, and signoff readiness while coordinating cross-functional teams and mentoring engineers.

Lead design and full-stack development of AI-infused, enterprise-scale cloud applications. Define architecture, mentor engineers, enforce best practices, build reliable production systems, integrate Azure/PaaS services and agentic AI solutions, and drive cross-team delivery and continuous improvement.

Lead verification of complex fabric interconnects or block-level designs. Define verification strategies and test plans, develop UVM/SystemVerilog environments, run and debug simulations, apply random-stimulus and coverage-driven techniques, improve verification efficiency and tools, apply generative AI to verification, and mentor/coach team members.

Design, build, and maintain reliable distributed engineering systems and infrastructure to accelerate feature delivery for a SaaS enterprise data warehouse. Partner with cross-team stakeholders to define requirements, lead design, mentor engineers, troubleshoot issues, run on-call rotations, and deliver scalable, secure, high-performance solutions leveraging cloud and AI technologies.

Lead BIOS/UEFI firmware development for Azure hardware: define requirements, manage feature delivery and NPI for new hardware SKUs, partner with silicon vendors/ODMs/OEMs, drive security vulnerability resolution, and standardize firmware processes across the fleet.

Lead design and implementation of full-stack, large-scale cloud platform capabilities for Microsoft Fabric. Shape architecture, build GraphQL APIs, developer tools, AI-driven experiences, participate in livesite operations, mentor engineers, and drive cross-team initiatives to deliver scalable, reliable developer-facing services.

Lead design and implementation of ESE storage enhancements for scalability, performance, reliability, and efficiency. Evaluate emerging storage hardware and open-source engine techniques, prototype and benchmark architectures, reduce write amplification, and influence cross-team platform strategy and execution.