Top Tech Jobs & Startup Jobs in Seattle, WA

The role involves building infrastructure for AI agent execution environments, ensuring system reliability and optimizing performance at scale.

The Performance Modeling Engineer will develop modeling tools to analyze AI system performance, collaborating on architectural tradeoffs and validating models against real data.

Support Account Directors in selling OpenAI solutions to cybersecurity organizations, build executive relationships, drive opportunities through the full sales cycle, identify and scale AI use cases across security operations, manage consumption revenue targets and forecasts, partner with engineering and solutions teams for deployments, and monitor industry trends to inform strategy.

Co-design hardware for AI workloads, optimize ML platform code, develop system performance models, and collaborate with engineers and vendors to influence hardware design.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

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

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.

Lead evaluation of GPU and accelerator architectures for AI workloads by benchmarking, profiling, and validating engineering-sample silicon. Analyze compute, memory, data-type, and interconnect tradeoffs, translate vendor specs into workload impact, partner with modeling and system teams, and provide actionable feedback to vendors to influence future silicon design.