Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Systems Engineer will architect and operationalize infrastructure for AI systems, focusing on networking, storage, and system readiness. Responsibilities include system design, validation, and debugging, working collaboratively across teams and with vendors to ensure reliable deployments.

As an Analytics Engineer, you will develop data-centric solutions, manage data projects, create scalable data pipelines, and communicate insights effectively to drive decision-making across the organization.

The Enterprise Applied AI Engineer builds internal applications for enterprise operations, designs data architecture and workflows, and collaborates on systems integration.

The Recruiting Optimization Manager is responsible for improving recruitment systems and operations, ensuring efficiency and scalability while leading a high-performing team.

Lead finance leadership for OpenAI's compute and infrastructure, developing financial models, analyzing spend patterns, and optimizing costs.

As Counsel, you will partner with AI research teams to address legal risks related to AI model development, policy advocacy, and compliance.

The Software Engineer will architect and build monetization systems for ChatGPT Ads, ensuring data correctness and collaborating with various teams to enhance user experience.

The role involves developing and scaling Codex for enterprise use, focusing on product evolution, system reliability, and customer engagement. Responsibilities include building secure systems, leading real-world deployments, and creating enterprise capabilities for operational improvements.

Develop and enhance software tools for hardware engineers, including compilers, simulation, and automation systems, while collaborating with design teams to improve hardware workflows.

The role requires managing the bring-up and provisioning of new systems in cloud or lab environments, ensuring stability and fleet integration while debugging issues.