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Vetted Robotics Professionals
Pre-screened and vetted.
Mid-level Robotics Engineer specializing in autonomous inspection robots and computer vision
Entry-level Robotics Engineer specializing in SLAM, sensor fusion, and autonomous navigation
Junior Machine Learning Engineer specializing in computer vision and robotics
Mid-level Robotics Software Engineer specializing in SLAM, perception, and UAV autonomy
Executive Applied AI & Venture Builder specializing in Enterprise SaaS and Healthcare
Mid-level Robotics/Software Engineer specializing in embedded and real-time distributed systems
Director-level Robotics Engineer specializing in AI, autonomy, and computer vision
Mid-level Robotics & Automation Engineer specializing in motion planning and machine vision
Mid-level Embedded Software Engineer specializing in automotive HiL validation and test automation
Junior Software Engineer specializing in AI, robotics, and full-stack development
Junior Immersive Technology Developer specializing in AR/VR and spatial computing
Intern Robotics/Mechanical Engineer specializing in mechatronics and autonomous systems
Senior Software Engineer specializing in IoT, robotics, and data platforms
Mid-level Robotics Software Engineer specializing in motion planning and real-time systems
Mid-level Robotics & Distributed Systems Software Engineer
Junior Robotics & Controls Engineer specializing in motion planning and ROS 2
Intern Embedded Systems & ML Engineer specializing in automotive perception and V-SLAM
Mid-level Research Scientist specializing in reinforcement learning and safety-critical robotics
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.”
Rahul Mangalampalli
Mid-level AI Software Engineer specializing in computer vision and multimodal systems
“Robotics/perception engineer focused on production-grade, real-time systems—optimized self-supervised segmentation on Jetson Nano from ~6–10 FPS to ~20–25 FPS and scaled experimentation/deployment by unifying 15+ edge models in a modular PyTorch Lightning framework. Experienced integrating distributed LiDAR-camera fusion via gRPC/protobuf into mission planning, migrating ROS1→ROS2 Foxy for multi-drone perception, and adding Prometheus-based observability for long-running deployments.”