Vetted Graduate Research Assistants in the Bay Area

“Robotics software engineer focused on simulation-to-teleoperation pipelines in NVIDIA Isaac Lab/Isaac Sim, including custom Dynamixel motor control integrated with USD/physics for dataset collection. Has hands-on ROS2 Humble + MoveIt2 integration for UR + Robotiq in Omniverse and builds Docker/CI workflows for GPU-enabled robotics stacks; also brings MPC coursework and multi-robot ocean drone comms experience (XBee/I2C).”

“AI/LLM engineer who has shipped production systems end-to-end, including a note-taking product (Notey) combining audio/image capture, ASR, summarization, and a semantic chat agent over past notes. Also has applied ML experience in healthcare, collaborating directly with doctors to validate an EEG seizure-detection pipeline, and uses Kubernetes to optimize GPU usage for LLM training.”

“Research assistant who single-handedly built and integrated an indoor autonomous wheelchair system using NVIDIA Jetson Nano, LiDAR, and a stereo camera. Implemented a multi-sensor perception pipeline (OpenCV/PCL) with ROS-based modular nodes, TF frame management, and robust debugging via RViz/rosbag, plus simulation testing in Gazebo and Dockerized environments for portability.”