Pre-screened and vetted in the Raleigh-Durham.
Mid-level Software Engineer specializing in MLOps, AI infrastructure, and distributed systems
Mid-level Computer Vision & ML Researcher specializing in medical imaging and 3D vision
“PhD (CS) candidate with hands-on autonomy and robotics experience: improved safety-critical behavior for Kodiak’s self-driving 18-wheeler trucks, increasing overtaking clearance by ~2 feet and reducing safety alerts. Also debugged a C++ SLAM system for 3D colon reconstruction and built a low-budget distributed simulation cluster using Linux, Docker, and Python, plus implemented multi-hop SSH-based comms for an underwater robotics competition minibot.”
Mid-level Software Engineer specializing in systems, cloud, and applied machine learning
“Robotics software engineer focused on ROS 2 localization/SLAM: built a particle-filter (Monte Carlo) localization system in Python with likelihood-field modeling to handle noisy LiDAR and dynamic environments. Strong in debugging ROS 2 integration issues (tf2 frame sync, DDS/QoS message reliability) and in profiling/optimizing pipelines to reach real-time performance (~10 Hz) using precomputation and KD-trees.”
Junior Software Engineer specializing in AI/ML and full-stack systems
Mid-level Machine Learning Researcher specializing in AI safety, adversarial robustness, and multimodal alignment