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

Research, design, and train foundation models for robotics; align text-based reasoning with low-level control policies; evaluate zero-shot generalization; run experiments; integrate models into robotic systems and present findings externally.

Design and implement high-fidelity spatial mapping and real-time object recognition pipelines. Integrate vision systems with robotic manipulation and navigation controls. Train and fine-tune Vision-Language-Action models and work with multimodal spatial AI frameworks and robotic hardware.

Design and architect multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows and autonomous operations.

Develop multimodal intent-recognition models from gaze, gesture, and voice; implement socially aware navigation respecting personal space; design robot visual and auditory UI feedback; run user studies and rapidly prototype AI-driven voice and visual interfaces.

Design and implement advanced control algorithms for bipedal locomotion and manipulation, train RL policies in simulation, deploy on hardware, and perform sim-to-real transfer and gait/kinematics analysis.

Design and implement multi-agent pathfinding algorithms to avoid fleet deadlocks, build low-latency Robot-to-Cloud and Robot-to-Robot communication protocols, and develop cloud dashboards for fleet monitoring and teleoperation handoffs.

Design, test, and optimize electromechanical systems and motor control firmware. Specify and tune BLDC motors, harmonic drives, and gearboxes. Implement FOC firmware on microcontrollers and integrate industrial communications (EtherCAT, CAN). Collaborate with mechanical engineers on joint design and thermal management to improve efficiency and torque density.

Design and implement functional safety systems for robotic products to meet ISO standards. Develop redundant safety-rated PLC architectures, implement collision-avoidance logic, and perform comprehensive FMEA on hardware and software.

Design and implement AI platforms (front-end and back-end), collaborate on data preprocessing and model training, deploy AI models to production, build and maintain data pipelines, integrate AI with an Ethereum Layer 2/Web3 stack, and contribute to related company projects with potential to lead a team.

Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.