Top Tech Jobs & Startup Jobs in Seattle, WA

The Data Scientist will enhance OpenAI's experimentation platform, improve statistical rigor, develop analytical systems in Python, and mentor other data scientists.

Lead cross-functional programs that transform third-party infrastructure capacity into production-ready compute for AI training and inference. Own readiness across compute, storage, networking, hardware, security, and operations; coordinate internal teams and external providers; manage launches, risks, escalations, capacity metrics, and executive reporting. Improve partner onboarding and define scalable operating models for global Token-as-a-Service infrastructure.

Develop, coordinate, and maintain multidisciplinary BIM models (Civil, Electrical, Mechanical, Architectural, Structural) for large-scale industrial and mission-critical facilities. Produce federated models for clash detection, constructability reviews, equipment planning, and quantity takeoffs. Maintain BIM standards and collaborate with engineering teams, consultants, and contractors using Navisworks, Autodesk Construction Cloud, BIM 360, Revizto, and related tools to ensure coordinated, constructible designs.

As a Senior Privacy Engineer, you'll design and implement privacy mechanisms, collaborate across teams to ensure compliance, and mentor engineers.

The role involves sourcing AI researchers, building outreach strategies, and engaging with passive talent for OpenAI's research teams. It requires collaboration with hiring managers and strong candidate relationship management.

The ChatGPT Performance Engineer will optimize performance and reliability for AI systems, collaborate with cross-functional teams, lead investigations into performance issues, and develop metrics for system performance.

As a Senior Infrastructure Engineer, you will build and scale OpenAI's experimentation and analytics infrastructure, focusing on performance and reliability at scale while optimizing data systems.

As a Senior Product Engineer, you will design and build experimentation platforms, improve rollout infrastructures, and collaborate with teams to ensure efficient product launches.

Lead on-site technical authority for datacenter hardware reliability and fleet health. Troubleshoot complex hardware failures, drive root cause analysis and corrective actions, coordinate with vendors and cloud providers, establish maintenance standards and runbooks, support new hardware introductions and spare parts strategy, mentor technicians, and analyze failure trends to improve reliability across large-scale GPU and server deployments.

The role involves designing and building scalable, reliable database systems, collaborating with product teams, and maintaining system operational excellence. Key responsibilities include improving performance, debugging issues, defining technical strategies, and enhancing engineering productivity.