Manufacturing Engineer

NPAworldwide; Lexington (KY); Presencial; USD 100 000 - 140 000; Tempo integral

Resumo da oferta

Global manufacturing firm located about 30 minutes north of downtown Lexington, KY, seeks a Manufacturing Engineer to lead AI-driven automation initiatives and improve manufacturing competitiveness. The role supports Advanced Technology with innovative tech validations and production deployment across North America.

Responsibilities include integrating AI robotics, CV/ML solutions, sensor fusion, and simulations to validate concepts, optimize systems, and enable scalable, safe manufacturing

Qualificações

• Bachelor's or master's degree in Robotics, CS, Data Science, Electrical Engineering, Mechanical Engineering, or related technical field (or equivalent experience).
• Experience with manufacturing automation deployments.
• Experience in robotics, AI/ML, or advanced automation development.
• Having a full-stack mindset while working in team environments building complete solutions, not just independent AI algorithms, demonstrations, and experiments.
• Strong hands‑on experience in at least two of the following: Computer vision (detection, segmentation, 3D perception), Machine learning / deep learning, Robotics.
• Proficiency in Python, C++, ROS-based systems; strong software engineering fundamentals.
• Deep understanding of different sensor types (RGBD cameras, LiDAR, Time-of-Flight sensors, etc.) and the ability to tune for image quality accuracy and performance.

Responsabilidades

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.
• Develop and implement computer vision, machine learning, and sensor fusion solutions for real-world manufacturing applications (e.g., bin picking, part handling, inspection).
• Build and optimize AI models for robust performance on industrial hardware, balancing latency, reliability, and compute constraints.
• Bridge the gap between modern AI Python scripts and standard industrial automation.
• Utilize simulation tools (e.g., Isaac Sim, MuJoCo, or equivalent) to support concept validation, synthetic data generation, and Sim2Real deployment.
• Lead and support equipment trials, debugging, and performance validation from proof-of-concept through production deployment (yokoten).
• Collaborate cross-functionally with robotics engineers, controls engineers, and plant manufacturing teams to integrate AI into production systems.
• Identify, evaluate, and implement emerging Physical AI technologies through benchmarking, supplier engagement, and industry events.
• Ensure solutions meet safety, reliability, and manufacturability requirements, including alignment with applicable standards and internal risk assessments.
• Present technical concepts, results, and recommendations to stakeholders, management, and executive leadership.
• Manage contractors to design and construct testing cells.
• Produce clear, detailed documentation to support future scaling and customer enablement.

Conhecimentos

Python

C++

ROS

Computer vision

Machine learning

Robotics

Sensor fusion

Formação académica

Bachelor's or Master's degree in a related field

Ferramentas

ROS

Descrição da oferta de emprego

Job Description

Global multi-billion dollar company about 30 minutes north of downtown Lexington, KY area has a need for a Manufacturing Engineer. This is a direct hire role with a full benefits package.

Job Description

Global multi-billion dollar company about 30 minutes north of downtown Lexington, KY area has a need for a Manufacturing Engineer. This is a direct hire role with a full benefits package.

The primary responsibility of this role is to develop and implement innovative activities, improving manufacturing competitiveness and reducing fixed costs in North America.

Reporting to the Engineering Manager the person in this role will support the Advanced Technology department's objective to learn and confirm innovative technologies for vehicle manufacturing.

What You'll Be Doing

• Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.
• Develop and implement computer vision, machine learning, and sensor fusion solutions for real-world manufacturing applications (e.g., bin picking, part handling, inspection).
• Build and optimize AI models for robust performance on industrial hardware, balancing latency, reliability, and compute constraints.
• Bridge the gap between modern AI Python scripts and standard industrial automation.
• Utilize simulation tools (e.g., Isaac Sim, MuJoCo, or equivalent) to support concept validation, synthetic data generation, and Sim2Real deployment.
• Lead and support equipment trials, debugging, and performance validation from proof-of-concept through production deployment (yokoten).
• Collaborate cross-functionally with robotics engineers, controls engineers, and plant manufacturing teams to integrate AI into production systems.
• Identify, evaluate, and implement emerging Physical AI technologies through benchmarking, supplier engagement, and industry events.
• Ensure solutions meet safety, reliability, and manufacturability requirements, including alignment with applicable standards and internal risk assessments.
• Present technical concepts, results, and recommendations to stakeholders, management, and executive leadership.
• Manage contractors to design and construct testing cells.
• Produce clear, detailed documentation to support future scaling and customer enablement.

Qualifications

What you bring

• Bachelor's or master's degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or related technical field (or equivalent experience).
• Demonstrated experience with manufacturing automation deployments.
• Experience in robotics, AI/ML, or advanced automation development.
• Having a full-stack mindset while working in team environments building complete solutions, not just independent AI algorithms, demonstrations, and experiments.
• Strong hands‑on experience in at least two of the following:
• Computer vision (e.g., detection, segmentation, 3D perception)
• Machine learning / deep learning
• Robotics
• Proficiency in Python, C++, ROS-based systems; strong software engineering fundamentals.
• Deep understanding of different sensor types (RGBD cameras, LiDAR, Time-of-Flight sensors, etc.) and the ability to tune for image quality accuracy and performance.

Why Is This a Great Opportunity

Global Leader rarely lays off amazing benefits and stability

Salary Type: Annual Salary

Salary Min: $ 100000

Salary Max: $ 140000

Currency Type: USD