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Vetted Robot Operating System (ROS) Professionals
Pre-screened and vetted.
Senior AI/Robotics Engineer specializing in GenAI, LLM serving, and computer vision
Senior Robotics Software Engineer specializing in ROS2, SLAM, and autonomy
Senior Robotics & Machine Learning Researcher specializing in planning under uncertainty
Mid-level Robotics Engineer specializing in autonomous inspection robots and computer vision
Junior Machine Learning Engineer specializing in computer vision and robotics
Mid-level Robotics Software Engineer specializing in SLAM, perception, and UAV autonomy
Intern Robotics Engineer specializing in perception, SLAM, and autonomous navigation
Mid-level Robotics/Software Engineer specializing in embedded and real-time distributed systems
Intern Computer Vision/Robotics Engineer specializing in perception and tracking
Mid-level Robotics Researcher specializing in robot learning and human-robot interaction
Director-level Robotics Engineer specializing in AI, autonomy, and computer vision
Mid-level Robotics & Automation Engineer specializing in motion planning and machine vision
Intern Robotics & Firmware Engineer specializing in ROS navigation and STM32 embedded systems
Junior Robotics & Computer Vision Engineer specializing in SLAM and perception
Mid-level Full-Stack Software Engineer specializing in AI/LLM and cloud-native platforms
Junior Immersive Technology Developer specializing in AR/VR and spatial computing
Mid-level Robotics Engineer specializing in ROS2 control, humanoids, and medical robotics
Senior Software Engineer specializing in IoT, robotics, and data platforms
Senior DevOps/SRE Engineer specializing in Kubernetes reliability and observability
Venkata Siva Sai Prathyush Kolli
Intern Robotics Software Engineer specializing in ROS2 multi-robot autonomy
“Robotics intern at the University of Delaware who built and debugged ROS2-based multi-robot coordination systems, focusing on real-time reliability (timestamp alignment, latency/jitter instrumentation, QoS/executor tuning). Also improved SLAM stability by fixing LiDAR/encoder synchronization and tuning state-estimation parameters, with a simulation-first workflow using Gazebo and Docker/CI for reproducible deployments.”
Sesha SaiSrikar Gaddam
Intern Mechanical Engineer specializing in robotics design and CAD
“Robotics engineer focused on MATLAB-based simulation and system-level/mechanical aspects of robot safety and coordination. Built an obstacle detection/collision-avoidance approach for a SCARA robot in shared human workspaces and optimized a swarm robotics simulation via priority-based task allocation and congestion-aware routing; currently ramping up on ROS concepts and interested in Gazebo + Docker/CI/CD for end-to-end robotics workflows.”