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

Lead and build software infrastructure and automation for robot testing and evaluation. Develop scripts, tools, and workflows to run repeatable tests, collect and analyze data, improve reliability, and coordinate cross-functional test execution. Set technical direction, prioritize work, unblock the team, and grow testing infrastructure and personnel for scaled deployments.

Manage day-to-day office logistics and facilities in an on-site San Francisco office. Coordinate supplies, vendors, travel booking, visitor and meeting readiness, and maintain workplace organization to support engineering and hardware teams.

Hands-on mechanical engineering intern to design, prototype, and iterate on robotic subsystems. Create and modify CAD models, perform basic load calculations and testing, build prototypes with 3D printers and shop tools, integrate mechanical designs with motors and sensors, document results, and collaborate with electrical and software engineers. On-site in San Francisco, part-time or full-time to balance school commitments.

Drive early enterprise sales for Droyd in the data center ecosystem: open opportunities via network and outbound, manage deals from intro to close, work with leadership on strategic accounts, represent the company externally, and help build the sales playbook while feeding customer learnings into product and GTM strategy. On-site in San Francisco.

Build, operate, and maintain realistic test and demo environments for autonomous robots. Support hardware setup, systems integration, demo execution, pilot readiness, and troubleshooting. Act as a bridge between engineering and field deployment, owning operational and technical problems end-to-end in an on-site San Francisco role.

Design and integrate system-level electrical solutions for motors, power delivery/conversion, and mobile platforms. Prototype, test, debug, and improve reliability of 24–48V battery-adjacent systems. Collaborate with mechanical and robotics teams on electrical architecture and platform integration. On-site in San Francisco.

Lead company-wide safety, certification, and standards efforts for autonomous robotic systems. Track requirements, identify gaps, coordinate documentation, testing, and cross-functional processes to achieve ISO and customer compliance. Serve as internal compliance point for engineering, customers, and partners.

Work on training, evaluating, and deploying ML models and inference systems for low-payload robotic arms. Run experiments, analyze results, and support testing and deployment on real robotic hardware while collaborating with researchers, engineers, and hardware teams.

Partner with leadership to drive cross-functional execution, coordinate customers/hiring/operations, maintain follow-through on priorities, improve onboarding and processes, and act as an on-site general-purpose operator in a fast-paced startup.

Design, train, and deploy vision-language and other ML models for low-payload robotic arms. Build training/inference stacks, optimize for real-time edge constraints, manage datasets, run experiments, and debug models on hardware in production.