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

Support robotics deployments and operations by coordinating teams and vendors, documenting installations and SOPs, shadowing calls, preparing customer materials, assisting with testing and validation, and tracking post-deployment issues to improve repeatability and processes.

Own and execute a regional territory plan to drive pipeline and revenue. Prospect, qualify, and advance automation opportunities through the full sales cycle. Partner with Solutions and Engineering to design tailored automation proposals, negotiate commercial terms, and maintain executive relationships. Represent the company at industry events, keep accurate CRM data and forecasts, and analyze regional market trends to refine strategy.

Lead underwriting for SMB and mid-market manufacturing customers: evaluate financial statements, assign risk ratings, structure commercial terms, partner with Sales/Legal/Finance, monitor portfolio performance, document decisions, and refine underwriting tools and processes.

Design and maintain distributed robotics software and data pipelines for real-time systems. Build observability, logging/replay, CI/CD for simulation and hardware, support large-scale data collection, model versioning/deployment, and optimize performance across distributed compute for production robotic systems.

Develop and deploy learning-based visuomotor manipulation systems for humanoid and mobile manipulators. Build high-fidelity simulators and data pipelines, train and evaluate transformer/diffusion-based policies, design sim-to-real strategies, and support on-hardware validation, debugging, and rigorous experimentation for production robotic systems.

Design and maintain distributed robotics software across edge and cloud. Build middleware, real-time data pipelines, logging/replay and observability tools. Create scalable data infrastructure for ML training, model versioning and deployment, optimize latency across nodes, develop CI/CD for simulation and hardware testing, and integrate perception, control, and learning subsystems.

Define and lead system-level control architecture for humanoids and mobile manipulators, develop real-time actuator interfaces and whole-body control, ensure safety and deterministic execution, validate hardware performance, and drive integration between hardware, controls, and AI for deployable industrial robots.

Design, build, and scale end-to-end monitoring for industrial robots across edge and cloud. Implement provisioning, telemetry collection, remote diagnostics, stream video, maintain cloud infrastructure, troubleshoot deployed systems, and write tests to ensure reliability.

The Automation Sustaining Engineer will provide advanced technical support for robotic systems, diagnose failures, improve system reliability, and mentor technicians while collaborating with cross-functional teams to enhance automation performance.

Drive operational excellence across deployed robotic systems by identifying recurring performance gaps, implementing process improvements, and partnering cross-functionally to increase reliability, standardization, and uptime.