Industrial AI Robotics Engineer in Kenner

Energy Jobline ZR; Kenner (LA); Presencial; USD 85 000 - 125 000; Tempo integral

Resumo da oferta

Energy Jobline ZR is supporting a well-established industrial manufacturing company in search of an Industrial AI Vision Robotics Engineer to develop AI-powered vision systems and robotic automation solutions.

You will design, train, and optimize machine learning models for real-world manufacturing, deploy edge AI on NVIDIA Jetson devices and CUDA-enabled GPUs, and integrate vision with robotic arms, conveyors, and sensors.

Qualificações

• Bachelor's degree in a technical field such as Robotics, EE, CS, or Mechatronics.
• 3–5 years of experience in AI, robotics, machine vision or automation.
• Proficiency in Python and/or C++, ROS/ROS2 experience.

Responsabilidades

• Develop AI-powered computer vision systems for industrial automation and robotics.
• Design, train, and optimize ML models for real-world manufacturing.
• Deploy edge AI on NVIDIA hardware platforms (Jetson, CUDA-enabled GPUs).
• Integrate vision systems with robotic arms, conveyors, sensors and automation equipment.
• Collaborate with mechanical, electrical, software and manufacturing teams to move concepts to production.
• Troubleshoot and improve AI and robotic systems for reliability and throughput.
• Stay current with advances in AI, robotics, CV and industrial automation.

Conhecimentos

Python

C++

ROS/ROS2

NVIDIA Jetson

TensorRT

Formação académica

Bachelor's degree in Robotics Engineering, Computer Engineering, Electrical Engineering, Computer Science, Mechatronics, or related field

Ferramentas

CUDA

TensorRT

NVIDIA Jetson

Descrição da oferta de emprego

We're supporting a well-established industrial manufacturing company with a search for an IndustrialAI Vision Robotics Engineer to help develop next-AI-powered vision systems and robotic automation solutions. This is an opportunity to work on cutting-edge applications that combine artificial intelligence, computer vision, robotics, and industrial automation to improve manufacturing processes through advanced machine learning and edge computing technologies.

What You'll Do

• Develop AI-powered computer vision systems for object identification, classification, tracking, and robotic automation.
• Design, train, and optimize machine learning models for real-world industrial applications.
• Deploy edge AI solutions using NVIDIA hardware platforms, including Jetson devices and CUDA-enabled GPUs.
• Integrate vision systems with robotic arms, conveyors, sensors, and automated equipment.
• Support image acquisition, camera calibration, dataset development, testing, validation, and performance optimization.
• Collaborate with mechanical, electrical, software, and manufacturing teams to bring new automation technologies from concept through implementation.
• Troubleshoot and improve AI and robotic systems to maximize reliability, accuracy, and throughput.
• Stay current with emerging technologies in AI, robotics, computer vision, and industrial automation.

Qualifications

• Bachelor's degree in Robotics Engineering, Computer Engineering, Electrical Engineering, Computer Science, Mechatronics, or a related technical field.
• 3-5 years of experience in AI, robotics, machine vision, automation, or a related engineering discipline.
• Experience with machine learning frameworks (such as ROS/ROS2) and programming in Python and/or C++.
• Hands-on experience with NVIDIA Jetson, CUDA, TensorRT, or similar AI acceleration technologies.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work collaboratively in a fast-paced engineering environment.

Why Join?

• Opportunity to develop innovative AI and robotic automation technologies with real-world impact.
• Work alongside multidisciplinary engineering teams on new product development and emerging technologies.
• Stable, growing manufacturing organization with a strong commitment to engineering innovation.

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.