Robotics Intern

KoiReader Technologies, Inc.; Dallas (TX); On-site; USD 20,000 - 28,000; Full time

Benefits offered by this job

RealImpact

Mentorship

PPO Potential

NVIDIA hardware exposure

Startup culture meritocracy

Job summary

KoiReader Technologies is a Dallas-based Industrial AI company hiring a Robotics Engineering Intern at our Dallas HQ. You will work at the intersection of computer vision, physical automation, and edge computing to design, build, and deploy robotic perception and automated inspection systems for yard and gate operations.

You will collaborate with AI researchers and engineers, translate vision algorithms into reliable robotic perception pipelines, and support live logistics environments during

Qualifications

• Pursuing a relevant degree in Robotics, CS, EE or ME.
• Hands-on experience with C++ and Python.
• Familiarity with ROS/ROS2 and CV libraries.

Responsibilities

• Assist sensor calibration and fusion for multisensor rigs.
• Develop and test ROS/ROS2 nodes for perception and edge execution.
• Build and evaluate simulated testbeds (Gazebo/Isaac Sim).
• Benchmark models on embedded hardware (Jetson AGX Orin).
• Assist in hardware integration and prototyping for gate/yard systems.
• Collect data, measure latency and accuracy.

Skills

C++

Python

Robotics basics

Computer vision

Education

Bachelor’s/Master’s/Ph.D. in Robotics/CS/EE/ME

Tools

ROS/ROS2

OpenCV

PCL/Open3D

Gazebo/NVIDIA Isaac Sim

CAD (SolidWorks/Fusion 360)

Job description

Location: Dallas, TX (on-site at HQ)

Experience: 2-6 Months (Previous Internship or Projects)

Duration: November 15, 2026 – June 30, 2027

Compensation: $17.50/hr

Commitment: Minimum 40 hours per week

We are looking for a passionate and hands‑on Robotics Engineering Intern to join our team at our Dallas, TX headquarters. In this role, you will work at the intersection of computer vision, physical automation, and edge computing to design, build, and deploy robotic perception and automated inspection systems for yard and gate operations.

You will collaborate closely with AI researchers, embedded systems engineers, and operations teams to translate vision algorithms into reliable physical inspection and robotic perception pipelines used in live logistics environments.

Key Responsibilities

• Sensor Calibration & Fusion: Assist in the setup, calibration, and spatial synchronization of multimodal sensors (monocular/stereo cameras, 3D LiDAR, time‑of‑flight sensors, and depth cameras).
• Robotics Software Development: Develop and test modular nodes using ROS / ROS2 for perception, tracking, telemetry, and edge execution.
• Simulation & Testing: Build and maintain simulated testbeds using tools like Gazebo or NVIDIA Isaac Sim to evaluate robotic inspection routines before deployment.
• Edge Deployment: Benchmark and optimize models on embedded hardware (e.g., NVIDIA Jetson AGX Orin, industrial edge PCs).
• Hardware Integration & Prototyping: Assist in mounting, wiring, testing, and debugging hardware rigs and test fixtures for real‑world automated gate, yard, and inspection systems.
• Data Collection & Benchmarking: Conduct controlled experiments, gather field datasets, and quantify system latency, precision, and repeatability.

Skills & Requirements

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related discipline.
• Solid proficiency in C++ and/or Python.
• Practical experience with ROS or ROS2 (nodes, actions, topics, tf transforms).
• Working knowledge of cameras and sensors (RGB, stereo/depth, ToF, LiDAR) and core computer vision or point cloud libraries (e.g., OpenCV, PCL, Open3D)—including setup, calibration, and basic troubleshooting.
• Hands‑on experience with physical hardware (sensors, cameras, edge processors, or robotic arms/AMRs), plus the ability to independently design and 3D‑print industrial‑grade components (e.g., sensor mounts, fixtures, robotic‑arm tooling) using CAD and production‑minded materials/tolerances.
• Must be located in or willing to relocate/commute to the Dallas, TX area for the duration of the internship.

Brownie Points

• Prior exposure to deep learning frameworks (PyTorch, TensorRT, ONNX Runtime) for object detection, segmentation, or pose estimation.
• Familiarity with simulation environments (NVIDIA Isaac Sim, Gazebo, Webots).
• Experience with industrial communication protocols (Ethernet/IP, Modbus, CAN, or MQTT).
• Deeper CAD fluency (SolidWorks, Fusion 360) and experience shipping durable 3D‑printed fixtures for field or production use.
• Exposure to containerization tools like Docker for edge deployment.

What We Offer

• Real Impact: Work on live Vision AI projects solving real‑world problems in logistics, yard, and supply chain operations.
• Mentorship: Learn directly from experienced AI architects and gain exposure to enterprise‑grade deployments.
• PPO Potential: High performers will have the potential to convert this internship into a full‑time role.
• The Playground: Hands‑on experience with NVIDIA hardware and edge AI deployment in production‑like settings.
• Meritocracy: A candid startup culture where the best ideas win, regardless of experience level.

About KoiReader

KoiReader Technologies is a Dallas-based Industrial AI company. Founded by industry operators and backed by a strategic NVIDIA partnership (including showcase at NRF 2026 and NRF 2025), we turn complex yard, gate, and logistics challenges into reliable Vision AI systems for Fortune 500 customers.

Through KoiVision—our Digital Operations Platform— we apply computer vision and agentic AI to automate how freight moves through yards, gates, docks, and facilities. Join a team shipping production systems, not slideware.