Top Tech Jobs & Startup Jobs

Lead architecture and delivery of Teams-integrated, Azure-native product capabilities including web UX, Azure Functions, identity, data workflows, GitHub integration, and agent orchestration. Define AI-native development practices and tooling, partner with senior stakeholders on product strategy, establish secure, maintainable coding practices, and drive engineering excellence, observability, and compliance for enterprise-grade AI workflows.

Lead analog-layout execution for quantum ASICs: produce schematic-to-GDS layouts across process nodes (including FinFET), establish flows and methodologies, coordinate team members, contingent staff, and vendors, and support project planning, schedule tracking, and delivery of high-performance, low-power analog IP.

Lead Zero Trust for AI strategy and cross-portfolio messaging; partner with product and engineering to influence roadmap, evolve the Zero Trust Assessment Tool, create customer-facing content, and drive go-to-market adoption across Microsoft Security.

Design and train large-scale transformer-based models and end-to-end ML systems for ad interaction and conversion prediction. Build weak-label and attribution pipelines, develop multi-task and calibration methods, run offline and online evaluation, and deploy production-ready models that improve ad ranking, bidding, and advertiser ROI at web scale.

Lead and grow a developer experience team responsible for monorepo strategy, CI/CD, build systems, developer environments, and onboarding. Improve engineering velocity, CI reliability, and developer trust; establish standards, adopt AI-assisted workflows, and partner with infra/ML teams to remove friction for large-scale AI research.

Build and maintain cloud-native, large-scale services for deploying, running, fine-tuning, and observing AI agents. Contribute to distributed systems, backend services, tooling, debugging, design discussions, and delivery of production-ready features with strong testing and reliability practices.

Lead analog mixed-signal (AMS) verification for SoCs and IP: build AMS models, create system-level simulation environments, run block and top-level simulations, develop behavioral models, coordinate engineers and contractors, establish verification methodology, document results, and drive design resolution through tape-out to production.

Operate and improve Microsoft Defender services in US Government clouds: lead on-call incident response, automate deployments and monitoring, build scalable reliability tooling, ensure security/compliance, run postmortems, and collaborate across teams to maintain uptime and performance.

Design and build scalable distributed systems and deliver features end-to-end for an AI-driven scientific discovery platform. Improve engineering velocity and reliability using AI-enabled processes, collaborate with Microsoft Research and platform teams, and apply site-reliability engineering practices to ensure robust operations.

12-week in-person research internship at Microsoft Research NYC on self-improving AI systems. Work with mentors and peers on language modeling and reinforcement learning research, present findings, and contribute to projects. Applicants must submit references, a cover letter, and work samples.