Applied AI Engineer - Manufacturing Systems

Daimler TruckCleveland, NC
$86,000 - $110,000Onsite

About The Position

We are seeking a motivated engineer to help develop and deploy practical AI-enabled software solutions for manufacturing operations. This role will support a small internal software team focused on building proof-of-concept applications, integrating AI into plant processes, and developing scalable digital tools that improve quality, productivity, and decision-making. The ideal candidate is a strong problem solver with solid software development fundamentals, hands-on programming experience, and interest in applying AI and edge technologies in real-world industrial environments. This position is well suited for an engineer who is comfortable working in a fast-paced setting, collaborating across functions, and helping shape a new and evolving capability within the plant.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Computer Engineering, or related field
  • 1–5 years of relevant experience in software development, data applications, or AI/ML-related projects
  • Exposure to manufacturing, automotive, or other industrial environments
  • Strong programming skills in Python
  • Understanding of software development fundamentals, including debugging, testing, and version control
  • Basic knowledge of AI/ML concepts and experience with at least one ML framework such as PyTorch, TensorFlow, or scikit-learn
  • Experience developing or consuming APIs and web services
  • Strong analytical and problem-solving skills
  • Ability to work independently and effectively in a new and evolving area
  • Clear written and verbal technical communication skills
  • Comfortable working in ambiguous environments and learning new technologies quickly

Nice To Haves

  • Experience with edge computing, embedded systems, or IoT devices
  • Familiarity with Raspberry Pi or similar edge hardware platforms
  • Experience with industrial data collection, sensors, or connected devices
  • Familiarity with Docker, containers, or lightweight deployment environments
  • Experience with C#, SQL, JavaScript, React, or Angular
  • Exposure to computer vision, anomaly detection, time-series analytics, or NLP applications
  • Familiarity with industrial communication protocols such as MQTT, OPC-UA, or Modbus
  • Understanding of PLC-connected environments or industrial automation concepts
  • Interest in applying LLMs or AI-assisted workflows to practical business problems

Responsibilities

  • Develop software applications and proof-of-concept tools that apply AI to manufacturing use cases
  • Support the design, development, testing, and deployment of software solutions for plant operations
  • Build and maintain APIs, services, and lightweight applications for industrial data collection and processing
  • Assist with deploying software and AI models on edge devices and plant-connected systems
  • Collaborate with operations, quality, maintenance, and engineering teams to identify high-value opportunities for digital and AI-enabled solutions
  • Prepare, structure, and analyze data to support machine learning models and decision-support tools
  • Train, test, and optimize machine learning models for targeted manufacturing applications
  • Document technical solutions, communicate learnings, and share best practices across teams and plants
  • Contribute to the ongoing development and support of internal software tools with a small engineering team
  • Stay current on emerging AI, software, and industrial technology trends relevant to manufacturing

Benefits

  • annual bonus program
  • 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age
  • starting at 4 weeks paid vacation
  • 13+ calendar holidays
  • 8 weeks paid parental leave
  • employee assistance program
  • comprehensive healthcare plans and wellness programs
  • onsite fitness (at some locations)
  • tuition assistance and volunteer paid time off
  • short-term and long-term disability plans
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