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

Serve as a technical product engineer advising customers on integrating Claude and LLMs into production products. Lead discovery, prototypes, eval frameworks, workshops, code reviews, and deployments while contributing patterns and documentation to product and engineering teams. Travel occasionally for customer support and represent Anthropic at events.

Lead end-to-end silicon program execution from architecture through tapeout, first-silicon bring-up, and production ramp. Manage external partners (ASIC houses, IP vendors, foundry, OSAT), run technology/IP selection, build program processes (milestones, risk/dependency tracking, reviews), and coordinate hardware-software co-design and post-silicon validation. Develop AI-assisted program management approaches.

Lead and coordinate RL research programs: monitor experiment health and performance, prioritize and track experiments, run research reviews, establish lightweight processes, and resolve technical blockers across research, infrastructure, and data teams to accelerate model development.

Own end-to-end hardware systems program execution from requirements through EVT/DVT/PVT and production ramp. Manage ODMs/CMs and vendors, run NPI cadence, coordinate silicon, firmware, infrastructure software, supply chain, and datacenter interfaces, and communicate status to engineers and executives. Build program mechanisms and apply AI-assisted tooling to streamline program management.

As a Technical Cyber Threat Investigator, you will detect and counter misuse of AI systems, develop strategies against cyber threats, and collaborate across teams to improve safety measures.

As a Technical CBRN-E Threat Investigator, you will detect, investigate, and disrupt misuse of AI systems related to CBRN-E threats, analyzing data and developing detection techniques.

Build and own claude.ai's serving and agent execution platform: sandboxed compute for safe code execution, state management for long-running agent tasks, delegated auth, observability for agent actions, and partner with product and research teams to design and ship scalable, secure infrastructure.

Lead 0-to-1 product development for experimental Labs initiatives: identify nascent research capabilities, build and prototype MVPs, define strategy and roadmap, and work cross-functionally with researchers and engineers to ship transformative AI products.

The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.

As a Research Engineer, you'll enhance AI systems by optimizing model training, debugging across multiple layers, designing experiments, and maintaining operational reliability during model launches.