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

The Reliability/DFX Engineer will oversee DFX architecture and improve system reliability, working closely with teams on AI hardware design and implementation.

Lead and scale a team of AI Success Engineers to drive post-sale technical adoption of OpenAI products, ensuring onboarding, activation, and enterprise-scale impact. Own strategy, operating model, hiring, mentorship, and cross-functional partnership to build scalable playbooks, ensure technical readiness for advanced features, and represent customer needs to product and commercial teams.

Build and ship polished, high-performance UI for the Codex desktop app and IDE extension. Partner with design to prototype and productionize interfaces for human↔agent workflows, own frontend architecture, improve reliability via testing and instrumentation, and integrate platform/model/backend capabilities.

The Simulation Realism Engineer will enhance realism in robotic simulations, develop engineering solutions, and collaborate across teams to improve simulation accuracy and reliability.

Build end-to-end features for a TypeScript/Node/Electron desktop app and IDE extension. Design integrations with Rust services and the Codex CLI, own IPC architecture, implement orchestration for long-running tasks, and improve observability, reliability, and performance while partnering with product and design.

Design and implement end-to-end mitigations for model-enabled cyber misuse, integrate safeguards across product surfaces, evaluate trade-offs, collaborate on threat modeling, and execute red-teaming and testing to iterate protections against evolving attacks.

Design and build distributed systems for failure detection and observability in AI training jobs, enhancing reliability and performance at scale.

The Solutions Architect will partner with startups to develop and scale Generative AI applications, providing technical guidance and prototyping support, while synthesizing feedback for product improvement.

Design and implement dataset infrastructure to support training and inference pipelines. Collaborate with researchers and build scalable dataset APIs, while maintaining performance and reliability across systems.

The role involves owning the product development lifecycle for people products, collaborating with stakeholders, and applying AI innovations in HR and recruiting.