Top Tech Jobs & Startup Jobs in Seattle, WA

Design and deliver FPGA-based digital subsystems for Microsoft's fault-tolerant topological quantum computer. Responsibilities include RTL development, low-latency streaming pipelines, high-speed interconnects, clocking and CDC, hardware/software co-design, verification, lab bring-up, timing closure, and CI build automation. The role collaborates with quantum physicists, software, RF/EE, and manufacturing teams while supporting quantum readout, error decoding, control, and system-scale performance.

Develop scalable AI-powered operations and ML infrastructure for reliable, secure cloud systems. Design distributed systems, write maintainable code, improve architecture and operational excellence, mentor engineers, establish engineering standards, and lead testing, incident response, and on-call activities. The role requires Azure or cloud experience, coding proficiency, and expertise in automation, reliability, CI/CD, infrastructure as code, and responsible AI practices.

Leads a software engineering team responsible for Microsoft Purview platform services, including authorization, policies, alerts, audits, and scopes. Owns feature delivery from strategy through customer adoption; drives architecture, reliability, security, compliance, operational excellence, and modernization. Coaches engineers, manages performance and career development, coordinates cross-functional roadmaps, oversees incident readiness and technical debt, and communicates risks and progress to senior leadership.

Design, automate, deploy, and operate secure enterprise-scale network and storage infrastructure for Azure datacenters and High Security Environments. Lead secure network architecture, implement IaC automation, build telemetry/monitoring, enable secure hybrid connectivity, troubleshoot cross-team incidents, and support hardware lifecycle and operational documentation.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Build and extend a people-analytics MCP server and AI tools, improve response quality and performance, diagnose bugs, and develop GitHub Copilot skills that encode analytical methods. Partner with analysts and product teams to gather feedback, prototype solutions, teach AI techniques, and drive adoption. Ensure sensitive people data is handled with confidentiality, access controls, privacy requirements, governance, and legal reviews.

Designs algorithms and applications for fault-tolerant quantum computers. Develops modeling tools to assess quantum resource requirements across hardware architectures and creates application- and architecture-aware techniques for quantum circuit compilation and optimization. The role involves research and software development, cross-functional collaboration, and advancing quantum applications, platforms, and hybrid quantum-classical workflows.

Build and optimize distributed systems supporting large-scale reinforcement learning, LLM post-training, inference, and production AI workloads. Develop reliable platform services, improve researcher iteration loops, debug model-hardware interactions, optimize performance, and enhance observability, security, scalability, and operational reliability. Participate in architecture, coding, incident response, deployment planning, and on-call support. Required qualifications include a technical bachelor’s degree or equivalent experience and at least two years of software engineering experience.

Lead end-to-end acquisition and delivery of easements for datacenter infrastructure, including power, water, fiber, and access. Manage negotiations, consultants, legal workflows, diligence, risks, milestones, stakeholder communications, and executive reporting. Develop standardized playbooks, templates, and process controls to improve delivery speed, quality, and predictability across a complex, multi-stakeholder portfolio.

Lead architecture and hands-on development of a self-service infrastructure orchestration platform for deploying services across clouds and regions. Design durable distributed workflows with dependency management, approval gates, safe retries, recovery, security, telemetry, and auditability. Apply AI-assisted engineering with human oversight, mentor engineers, lead cross-team reviews, and partner with Azure and Microsoft 365 teams to improve buildout efficiency and reliability.