This listing pays about $120,000 a year. Across 367 open manufacturing engineer listings that state pay, the middle half runs $85,500 to $122,500 and the median is $100,000. That is inside the middle half of those listings, 20% above the median.

Listed pay is what employers advertise, not what people are paid.

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How AI is used in this kind of work

AI use among industrial engineers is little observed so far. Measured exposure for industrial engineers: 4% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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.