Pre-screened and vetted.
Senior Frontend Developer specializing in React and industrial ERP systems
“Frontend engineer focused on scalable architecture and long-term maintainability, emphasizing modular component design in React + TypeScript. Has experience building reusable component libraries (including Storybook and shared repos) and collaborating with design/product to refine UX workflows, reducing development time over successive iterations.”
Junior Robotics and Computer Vision Engineer specializing in perception and autonomy
Senior Product & Program Management leader specializing in AI/ML and digital transformation
Junior Robotics & Mechatronics Engineer specializing in embedded automation and robotic systems
Mid-level QA Engineer specializing in manual, automated, API, and mobile testing
Mid-level Sales Engineer specializing in government bids and CRM optimization
Mid-level Robotics/Mechatronics Engineer specializing in ROS 2, SLAM, and sim-to-real autonomy
“Robotics software engineer focused on sim-to-real deployment: built an Isaac Sim/Isaac Lab PPO training pipeline with domain randomization for vision-conditioned quadruped locomotion and integrated a RealSense D435i into a ROS2 stack on hardware. Also worked on an autonomous surface vessel, standardizing ROS2 interfaces across Jetson, microcontroller, GPS/IMU and motor controllers, using structured logging/replay to debug real-time oscillations and improve path tracking.”
Mid-level Automation & Robotics Engineer specializing in industrial controls and computer vision
“Robotics software engineer with hands-on experience building an AGV for warehouse autonomy at Kick Robotics, working across SLAM, waypoint navigation, computer vision, and ROS2/RViz simulation. Demonstrated strong on-site troubleshooting by diagnosing a real-world mapping stall via log analysis (coordinate reset bug) and deploying a fix. Also has industrial automation experience coordinating SCARA robots via EtherNet/IP and multi-robot/swarm simulations using MQTT pub-sub.”
Junior AI/ML Engineer specializing in LLM agents and RAG systems
“Built and deployed a production, multi-tenant modular agentic AI platform at Easybee AI, using LangChain/LangGraph with Redis-backed durable state to make agents reusable, traceable, and auditable. Emphasizes reliability via strict tool schemas, deterministic controllers, tenant-level policy enforcement, and regression testing derived from real production failures; also delivered AI automation for legal/finance workflows (attorney draw and expense automation) with explainable, deterministic payouts.”
Mid-Level Full-Stack Developer specializing in MERN and AR/VR applications
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Junior Engineering Technician specializing in product development, CAD, and robotics
Senior Software Engineer specializing in robotics, computer vision, and scientific instrumentation
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React
“Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).”
Mid-level Robotics & AI Engineer specializing in autonomous systems
“Robotics software engineer with deep ROS2 experience who owned the perception stack for an automated C. elegans manipulation system—building YOLO-based worm segmentation plus OCR label reading and integrating it into a MoveIt2 pipeline with real-time latency constraints. Also deploying ROS2 on an AgileX Tracer with ZED depth camera for vision-based person following and working on SLAM/sensor fusion, with additional production-style ML deployment experience (Dockerized FastAPI + PyTorch on AWS EC2 with CI/CD).”
Junior Computer Vision Researcher specializing in deep learning and object detection
“Robotics engineer who built and scaled a distributed perception stack on a Unitree Go1 quadruped, coordinating 5 Jetson Nanos and a Raspberry Pi to capture, aggregate, and stream multi-camera video in real time via UDP/GStreamer and custom ROS nodes. Also implemented a YOLOv9-based detection pipeline enhanced with Grad-CAM-driven selective image enhancement (e.g., MIRNet/UFormer) to improve real-time detections and robot reactions to visual stimuli.”
Intern Test Engineer specializing in embedded systems, robotics, and data automation
“Robotics software contributor on an SJSU Robotics Mars rover hub, where they built a C++ camera gimbal driver using the Libhal open-source library and implemented/tuned PI/PID control to achieve stable servo behavior.”
Junior Robotics Engineer specializing in controls, simulation, and production debugging
“Robotics software engineer who helped build a startup "robo-chef" system end-to-end, including pick-and-place simulation using ArUco-marked stations and smooth motion planning. Hands-on ROS 2 integrator across LiDAR/IMU/camera perception-to-navigation stacks (Nav2, SLAM Toolbox, ros2_control), with demonstrated ability to debug real-time timing drift and improve repeatable placement through calibration and motion blending. Uses Gazebo simulation plus Docker/CI pipelines to validate and deploy robotics software reliably.”
Mid-level Audiovisual & Network Systems Engineer specializing in live sound and streaming
“Audio designer/editor with a producer background who edits music and SFX as a compositional tool—shaping narrative tension in projects like a stop-motion horror short film and optimizing pacing for YouTube retention. Runs an end-to-end, template-driven post workflow (dialogue cleanup, bussing, automation, loudness targets, and stem deliverables) designed for fast, high-volume iteration.”
Senior AI/ML Engineer specializing in LLMs, RAG, and VR/XR multimodal systems
“PhD researcher (University of Utah) who built a production RAG-powered Virtual Reality Research Assistant to answer lab research questions with concrete citations. Implemented an end-to-end LangChain pipeline using PyPDFLoader, chunking strategies, OpenAI embeddings, and ChromaDB, with emphasis on grounding to reduce hallucinations and ensure research-grade accuracy. Collaborated closely with a non-technical PhD advisor to scope requirements, manage cost constraints, and demo iterative progress.”
Junior Robotics Engineer specializing in autonomous navigation and computer vision for agriculture
“Robotics software engineer who led an autonomous nursery management robot project at Auburn University, spanning RGB-D/IMU sensor fusion, SLAM navigation, and real-time ML for plant detection/quality assessment. Strong ROS1/ROS2 background (C++/Python) with deployment on NVIDIA Jetson, including profiling-driven optimization of YOLO segmentation for real-time behavior and multi-robot (UGV/UAV) communication using ROS2.”