Top Tech Jobs & Startup Jobs in Seattle, WA

Leads architecture and development of SystemC/TLM virtual platforms and low-level firmware for Microsoft custom silicon. Defines reusable modeling, validation, debug, and hybrid simulation strategies across multiple Azure hardware programs. Develops SoC models, supports UEFI and Windows boot, PCIe initialization, firmware bring-up, and operating system integration. Resolves system-level issues across hardware, firmware, software, and emulation environments while mentoring engineers and guiding solutions from prototyping through delivery.

Conducts applied AI research for developer tools, building datasets, training large-scale machine learning models, and running experiments involving LLMs, RAG, evaluation, and software engineering. Collaborates with Microsoft Research, GitHub, product teams, engineers, and designers to advance AI capabilities and transition research into products.

Develop and operate large-scale AI infrastructure for model training, inference, and fine-tuning across Azure and partner clouds. Build distributed services, automation, and tooling using multiple programming languages and Kubernetes. Optimize GPU capacity, reliability, latency, security, and operational efficiency while supporting deployments, monitoring, troubleshooting, and continuous improvement of production AI systems.

Develop and support system-level testing for cloud hardware and silicon products. Responsibilities include creating test strategies, requirements, tools, automation, characterization and correlation analyses, performance optimization, and failure triage across silicon, hardware, software, and firmware. The role also coordinates development activities across product groups and supports testing from pre-silicon readiness through production.

Provides administrative and business support for Microsoft Security leaders and teams, including calendar management, domestic and international travel coordination, meetings, events, expenses, budgets, procurement, onboarding, space planning, equipment, and vendor processes. Partners with HR, Finance, Talent Acquisition, facilities, and Business Support colleagues to resolve issues, improve operations, and support a positive team experience.

Owns end-to-end Treasury process transformation, standardization, automation, and AI-enabled improvements across credit, collections, cash application, and financial operations. Partners with Finance, Product, Engineering, and business teams to design scalable workflows, improve controls and compliance, reduce manual work, and deliver measurable gains in efficiency, cash flow, quality, and cycle time. Defines KPIs, uses data and governance to prioritize investments, and influences senior stakeholders across global organizations.

Define end-to-end architectures for scalable quantum computing systems spanning quantum hardware, classical infrastructure, firmware, software, and cloud services. Establish system boundaries, interfaces, dataflows, partitioning, and co-design strategies; lead system-level trade-offs, modeling, hardware pathfinding, validation, and integration planning. Collaborate across quantum information theory, software, systems engineering, measurement, design, and fabrication teams to advance production-ready quantum platforms.

Lead and grow a software engineering team developing the C# compiler, language capabilities, developer tools, and AI-assisted coding experiences across .NET, Visual Studio, Visual Studio Code, and Copilot. Set technical direction, guide architecture, ensure high-quality delivery, foster collaboration, use telemetry and customer feedback to improve products, and drive adoption of AI-assisted development practices.

Design and build client and platform software for Windows cloud experiences, including cross-platform clients, cloud-connected services, and AI-driven workflows. Responsibilities include architecture, technical strategy, performance, scalability, reliability, security, accessibility, and customer experience. The role collaborates across product and engineering teams, mentors engineers, and leads complex technical initiatives. Principal-level engineers additionally shape broad, cross-organization programs and the next generation of Windows cloud experiences.

Own product strategy, roadmaps, investment priorities, and end-to-end delivery for AI-powered commerce experiences. Partner with engineering, data science, design, marketing, and business stakeholders to translate customer needs into products, influence decisions, evaluate performance, and drive measurable improvements. Lead discovery, requirements, launches, iteration, customer feedback, operational excellence, and cross-organizational alignment at global scale.