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

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.

Build and operate reliable infrastructure and systems that support research workflows. Improve cluster bootstrapping, provisioning, automation, and deployment. Debug networking, compute, storage, orchestration, and reliability issues. Write software and automation to reduce manual work, partner with researchers and engineers, and evolve infrastructure toward scalable, maintainable patterns.

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.

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.

Drive cross-functional development and integration of robotic sensor systems, including cameras, LiDAR, IMUs, RADAR, proximity sensors, and audio components. Coordinate requirements, engineering interfaces, validation, manufacturing, supply chain, production readiness, change management, and release processes. Establish technical review cadences, manage dependencies and tradeoffs, and lead functional, reliability, and NVH validation to ensure sensor subsystems meet cost, quality, performance, and schedule goals.

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.

Build and operate scalable streaming and batch data pipelines for monetization, financial, and operational data. Develop canonical data models, reusable data products, data quality controls, observability, lineage, reconciliation, and auditability. Partner with Product Engineering, Finance, Accounting, Analytics, and GTM teams to define data contracts and deliver reliable platform capabilities. Lead technical designs, complex cross-functional projects, incident response, and engineering improvements.