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

As a Training Performance Engineer, you will optimize large-scale distributed training processes, analyze performance bottlenecks, and collaborate across teams to ensure efficient GPU utilization and throughput.

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.

Seeking a Developer Productivity Engineer to enhance systems for releasing inference models efficiently while ensuring quality and reliability across OpenAI's platforms. Responsibilities include improving CI/CD, reducing test failures, and streamlining workflows for the development team.

Design and validate low-level system software for AI hardware manageability, including developing firmware, managing software integration, and debugging hardware issues.

Build end-to-end full-stack product workflows and backend services for AI-powered security: vulnerability discovery, scanning, red teaming, findings review, remediation, and reruns. Design APIs, data models, async orchestration, durable state, and integrations; improve reliability, observability, and user trust while partnering with security researchers and product teams.

Research and develop multimodal perception and authentication systems using visual, audio, and sensor data. Build specialized and multimodal models, design training and evaluation methods, analyze robustness and failure modes, and integrate capabilities into real-time, resource-constrained systems. Collaborate with hardware, firmware, software, and product teams to transition research into practical products.

Owns actuator development and integration from system goals through production readiness. The role coordinates mechanical, electrical, firmware, controls, testing, reliability, manufacturing, and supply chain teams; drives technical convergence, validation planning, tradeoff decisions, change control, risk mitigation, and manufacturing readiness for robotic actuator systems.

Manage complex programs for collecting high-quality data, collaborating with external vendors and internal teams to ensure project success and model training.

Build and own the production improvement loop for LLM-powered GTM agent workflows: instrument behavior, define evaluation and monitoring, diagnose failures, design and ship behavior improvements, build backend services and feedback pipelines, run experiments and staged rollouts, and partner with product, data, and GTM teams to measure business impact while ensuring safety and reliability.

Founding full‑stack engineer to design, prototype, and ship AI-powered legal products. Own end-to-end frontend and backend systems, build on OpenAI platforms and APIs, iterate with product/design/research, and help define technical foundations and engineering culture for the Legal team.