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

Build demos, developer tools, sample applications, integrations, tutorials, and technical content that help developers and security teams use AI for secure software development and defensive workflows. Partner with cybersecurity engineers, researchers, product teams, and practitioners to validate findings, demonstrate secure practices, gather feedback, and improve adoption of OpenAI’s cyber products.

Build and operate backend services powering OpenAI’s Responses API. Responsibilities include designing developer-facing APIs, enabling agent workflows, improving reliability for long-running requests, optimizing performance and latency, supporting staged launches, and turning production issues and developer feedback into durable improvements. The role requires strong distributed systems, concurrency, asynchronous execution, observability, and production troubleshooting skills, with cross-functional collaboration across research, safety, product, and engineering teams.

Designs, builds, and owns mechanical infrastructure for robotic actuator dynamometer and test cells. Responsibilities include mechanical architecture, fixtures, couplings, shafts, bearings, guarding, alignment, analysis, fabrication, assembly, commissioning, and lab debugging. The role partners with electrical, software, and controls engineers; manages vendors; develops drawings, tolerances, inspection plans, safety systems, and maintenance practices; and improves test reliability through observation and failure analysis.

The Partner Solutions Architect will drive technical engagement with systems integrators, maintaining relationships with stakeholders to ensure successful AI solutions deployment and delivering strategic guidance.

Designs and validates stator and rotor mechanical components for advanced robotic motors. Responsibilities include CAD and drawing release, tolerance analysis, lamination and bobbin development, fixture design, prototype fabrication and troubleshooting, metrology, winding interface development, and establishing repeatable low-volume build processes with work instructions and inspection standards. Partners with electromagnetic, electrical, manufacturing, and test engineers to optimize performance, manufacturability, and reliability.

Lead OpenAI’s company-wide accessibility program while designing accessible products and design-system components across web, mobile, desktop, voice, AI, and hardware. Define accessibility strategy, governance, standards, and roadmaps; conduct participatory research and assistive-technology testing; establish engineering guardrails; lead audits and remediation; partner with legal, product, engineering, and go-to-market teams; and build organizational capability through training and accessibility champions.

Lead the technical strategy, architecture, and roadmap for ChatGPT Search Product Infrastructure. Manage experienced engineers, build scalable search orchestration and serving platforms, and establish reliability, observability, experimentation, rollout, and operational practices. Partner with Post-Training, Inference, Indexing, Retrieval, Search Quality, product, and infrastructure teams to deliver low-latency, highly available search experiences at global scale while enabling product teams to independently launch features.

Build research infrastructure and tooling that enable AI models to design semiconductor chips. Responsibilities include developing reinforcement learning environments, integrating EDA tools, creating evaluation and model harnesses, improving experiment reliability and observability, debugging infrastructure, and converting successful research experiments into reusable systems and training workflows.

Design, implement, tune, and verify real-time robotic control systems spanning actuators, hardware interfaces, state estimation, motion control, and whole-robot behavior. The role involves hands-on robot commissioning, debugging, experimentation, and testing, while collaborating with mechanical, electrical, software, and machine learning teams to integrate reinforcement learning and optimize real-world robotic performance.

Lead and develop a client platform engineering team responsible for secure, reliable endpoint foundations across macOS, Windows, iOS, Android, and Linux. Set strategy, guide architecture, oversee infrastructure and platform operations, improve observability and security, and establish effective delivery and incident-management practices. Partner across Security, IT, Product, Research, and Engineering to improve employee computing, automation, device trust, application delivery, and operational scale.