Engineering Technologists and Technicians, Except Drafters, All Other

Career Summary

Engineering Technologists and Technicians, except drafters, play a crucial role in supporting engineers across various industries. This diverse field offers opportunities to apply technical knowledge to real-world problems, ensuring efficient and safe operations in sectors like manufacturing, construction, and research.

AI Impact Score

Salary Data

Minimum

$40,000

Median

$65,000

Maximum

$90,000

Job Responsibilities

• Conducting tests and experiments on engineering designs. (AI can assist)
• Troubleshooting and resolving technical issues in engineering systems.
• Assisting engineers in the design and development of new products and processes. (AI can assist)
• Preparing technical reports and documentation. (AI can assist)
• Operating and maintaining laboratory equipment.
• Ensuring compliance with safety regulations and industry standards.
• Analyzing data and interpreting results to improve engineering designs. (AI can assist)

Requirements

Education

Associate's Degree or Bachelor's Degree in Engineering Technology

Experience

Typically 0-2 years of relevant experience

In-Demand Skills

• Problem Solving High

  Identifying and resolving technical issues efficiently.

• Data Analysis High

  Analyzing data from experiments and systems to identify trends and improvements.

• Technical Communication Medium

  Clearly communicating technical information to engineers and other stakeholders.

• CAD Software Proficiency Medium

  Using CAD software to create and modify engineering designs.

• AI Model Understanding Medium

  Understanding the basics of AI models and how they can be applied in engineering contexts.

• Programming Low

  Using programming languages like Python for data analysis and automation.

• Equipment Maintenance Medium

  Maintaining and troubleshooting laboratory and industrial equipment.

Job Market Demand

AI Integration

AI Co-Pilot Tasks

• AI assists in analyzing large datasets to identify trends and anomalies in equipment performance.
• AI helps automate the generation of technical reports, saving time and improving accuracy.
• AI provides real-time feedback on engineering designs, identifying potential flaws and optimizations.
• AI assists in scheduling maintenance tasks based on predictive analysis of equipment health.
• AI facilitates remote monitoring of engineering systems, enabling proactive troubleshooting.
• AI aids in identifying optimal materials for specific engineering applications.
• AI helps create and manage detailed documentation using natural language processing.

Automation Opportunities

• Routine data collection and entry.
• Simple equipment calibration tasks.
• Standardized report generation.
• Basic quality control checks.
• Initial troubleshooting steps based on predefined rules.
• Inventory management of engineering supplies.
• Monitoring of simple system parameters.

New Frontiers

• AI-driven predictive maintenance specialist.
• AI-assisted design optimization technician.
• Remote equipment monitoring and diagnostics technician.
• AI-enhanced quality control and assurance specialist.
• Development and maintenance of AI-powered tools for engineering applications.
• AI-assisted simulation and modeling technician.
• Customization and implementation of AI solutions for unique engineering challenges.

Recommended Tools

• MATLAB Simulation & Analysis

  A programming and numeric computing platform used for data analysis, algorithm development, and model creation.

• AutoCAD CAD Software

  A computer-aided design (CAD) software application for 2D and 3D design and drafting.

• SolidWorks CAD Software

  A solid modeling CAD and CAE (computer-aided engineering) software application.

• LabVIEW Data Acquisition

  A system-design platform and development environment for a visual, graphical programming language.

• TensorFlow AI Framework

  An open-source machine learning framework for developing and training AI models.

• PyTorch AI Framework

  An open-source machine learning framework used for developing and training AI models, popular for research and development.

• ThingWorx IoT Platform

  An industrial IoT platform that helps connect devices, analyze data, and build applications.

• IBM Watson Studio AI Development

  A cloud-based environment for building, training, and deploying AI models.

Risks & Considerations

• Automation of Routine Tasks

  AI and automation may replace routine tasks traditionally performed by technicians.

• Skill Obsolescence

  Technological advancements may render existing skills obsolete.

• Increased Competition

  The increasing availability of AI tools may increase competition for jobs.

Career Outlook

Job prospects are expected to remain stable as industries continue to rely on technological advancements.