Smart Factory Engineer
SOC 17-2112.00 · ESCO 2141 · OSCA 233131
Role snapshot
Overview
Smart Factory Engineers are at the forefront of modern manufacturing, designing, implementing, and optimising advanced automation and digital technologies within production environments. They integrate sophisticated systems like robotics, IoT sensors, artificial intelligence, and data analytics to create highly efficient, flexible, and adaptive factory operations. This role involves programming and configuring automated machinery, developing software for real-time data collection and analysis, and continuously monitoring system performance. Smart Factory Engineers are crucial in troubleshooting complex technical issues, ensuring seamless operation, and driving continuous improvement in manufacturing processes.
Drives the digital transformation of manufacturing, leading to increased productivity, reduced waste, improved product quality, and enhanced operational agility. Their work directly contributes to competitive advantage and sustainability in industrial sectors.
On the job
- Design and implement automated production systems, including robotics, PLCs, and SCADA.
- Develop and integrate IoT sensors and data acquisition systems to monitor real-time factory performance.
- Analyse production data using advanced analytics to identify bottlenecks and optimise workflows.
- Program and troubleshoot industrial robots, automated guided vehicles (AGVs), and other intelligent machines.
- Collaborate with production teams to identify areas for automation and process improvement.
Tools & technology
Average salary
Job outlook
ExcellentNew job opportunities are highly likely. Demand significantly outpaces supply in most markets.
Education & training
A bachelor's degree in engineering, such as Electrical Engineering, Mechanical Engineering, Industrial Engineering, or Computer Science, is typically required. Relevant certifications in PLC programming, robotics, or industrial control systems are also beneficial.
AI impact outlook
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detail
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detailWhy this role received this rating
Core task exposure
high
How much of the role’s important work could AI perform?
Core tasks like PLC programming, data analysis, and robot path planning are directly exposed to AI's code generation and optimization capabilities.
End-to-end automation
moderate
Can AI complete the work without substantial human involvement?
AI can automate significant parts of the engineering workflow, but the holistic design, integration, and strategic decision-making require human oversight.
Adoption pressure
high
How likely are employers to introduce AI into this work?
There is high demand for AI to automate engineering tasks, increasing efficiency and accelerating the development of smart factory solutions.
Human dependence
moderate
How much does success depend on human judgement, relationships and accountability?
Success relies on human ingenuity, critical thinking for complex system design, and the ability to innovate and integrate disparate technologies.
Protective — a higher rating lowers the overall score.
Role adaptability
strong
How easily can the role evolve as AI takes on more tasks?
The role is inherently about adapting new technologies, making it highly flexible to industry changes.
Shown for context — not part of the score.
What AI may take on
These are the parts of the role most likely to be automated or significantly accelerated.
- Generating PLC and SCADA code for automation systems
- Optimizing robot path planning and motion control algorithms
- Performing advanced data analysis for process bottlenecks
- Simulating and validating factory layouts and workflows
Where people remain essential
These parts continue to depend heavily on human judgement, relationships and accountability.
- Designing and architecting complex automated production systems
- Integrating diverse technologies like robotics, IoT, and AI platforms
- Troubleshooting and debugging sophisticated software and hardware issues
- Collaborating with production teams to define automation requirements
- Innovating new solutions for manufacturing challenges
- Ensuring system security and data integrity
How the role may evolve
Architecting integrated systems with AI assistance.
The role will evolve to focus on higher-level system design and integration, leveraging AI as a powerful tool for coding, analysis, and optimization.
Strengthen your future fit
- Expertise in AI/ML for industrial applications
- Advanced proficiency in PLC, SCADA, and robotics programming
- Strong data science and analytics capabilities
- System integration and cybersecurity knowledge
- Strategic thinking and problem-solving for complex systems
- Assessment horizon
- 3–7 years
- Confidence
- High
- Last reviewed
- August 2026
- Methodology
- v1.0
This assessment reflects current AI capabilities and expected adoption patterns. Actual impacts will vary by industry, employer and the way each role is performed.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
Smart Factory Engineer
Manufacturing & Production
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
conventional · CIR
Individuals who thrive on complex technical problem-solving, enjoy hands-on work with advanced machinery, and are meticulous in designing and optimising systems will find this role highly engaging.
Personality characteristics
Analytical
Enjoys dissecting complex technical problems and finding innovative solutions for manufacturing processes.
Meticulous
Pays close attention to detail in programming, system design, and data analysis to ensure accuracy and reliability.
Hands-on
Prefers practical application and interaction with physical machinery, sensors, and robotics on the factory floor.
Collaborative
Works effectively with production teams, IT, and other engineers to integrate systems and solve issues.
Resilient
Maintains composure and problem-solves effectively under pressure when troubleshooting critical system failures.
Curious
Driven to continuously learn about emerging industrial technologies, software, and automation techniques.
Best for
- Engineers passionate about the intersection of advanced technology and manufacturing.
- Individuals who enjoy designing, building, and optimising complex automated systems.
- Problem-solvers who thrive on tangible results and continuous improvement in industrial settings.
Watch out for
- Requires frequent presence on the factory floor, which can be noisy and require safety protocols.
- Troubleshooting critical issues can lead to unpredictable hours and high-pressure situations.
A week in the life
A representative working week for a Smart Factory Engineer — where the deep work, meetings, and admin actually land.
Real people. Real results.
Thousands of people
can't be wrong.
Frequently asked questions about Smart Factory Engineer roles
What does a Smart Factory Engineer do?
A Smart Factory Engineer smart Factory Engineers are at the forefront of modern manufacturing, designing, implementing, and optimising advanced automation and digital technologies within production environments. They integrate sophisticated systems like robotics, IoT sensors, artificial intelligence, and data analytics to create highly efficient, flexible, and adaptive factory operations. This role involves programming and configuring automated machinery, developing software for real-time data collection and analysis, and continuously monitoring system performance. Smart Factory Engineers are crucial in troubleshooting complex technical issues, ensuring seamless operation, and driving continuous improvement in manufacturing processes. Drives the digital transformation of manufacturing, leading to increased productivity, reduced waste, improved product quality, and enhanced operational agility. Their work directly contributes to competitive advantage and sustainability in industrial sectors.
How much does a Smart Factory Engineer earn?
A Smart Factory Engineer earns a median of $95,000 per year in the US, typically ranging from $75,000 to $130,000.
What qualifications do you need to become a Smart Factory Engineer?
To become a Smart Factory Engineer, a bachelor's degree in engineering, such as Electrical Engineering, Mechanical Engineering, Industrial Engineering, or Computer Science, is typically required. Relevant certifications in PLC programming, robotics, or industrial control systems are also beneficial.
What personality suits a Smart Factory Engineer?
Smart Factory Engineer roles tend to suit people who are highly conscientious — precise, organised and strong on follow-through (Conscientiousness 82/100) and steady under pressure — deadlines and setbacks do not rattle them easily (Emotional Stability 72/100). The traits that matter most in the role are Analytical, Meticulous, Hands-on and Collaborative. Enjoys dissecting complex technical problems and finding innovative solutions for manufacturing processes. On interests, Smart Factory Engineer maps to a CIR Holland Code profile — individuals who thrive on complex technical problem-solving, enjoy hands-on work with advanced machinery, and are meticulous in designing and optimising systems will find this role highly engaging.
Who does a Smart Factory Engineer role suit?
A Smart Factory Engineer role is usually a strong fit for these reasons. Strong Investigative and Realistic alignment: the role demands deep technical analysis and hands-on application of engineering principles. A significant portion of the week is dedicated to deep work, allowing for focused problem-solving and system development. High Conscientiousness is crucial for the precision and reliability required in designing and maintaining complex industrial systems.
What are the downsides of being a Smart Factory Engineer?
Smart Factory Engineer roles come with trade-offs worth weighing up. Requires frequent presence on the factory floor, which can be noisy and require safety protocols. Troubleshooting critical issues can lead to unpredictable hours and high-pressure situations.
What is the work environment like for a Smart Factory Engineer?
Work as a Smart Factory Engineer is mostly mixed-based with onsite arrangements common, semi-structured — a mix of set processes and self-directed work, a moderate pace and medium exposure to clients or stakeholders. Around 61% of the week is focused deep work.
What skills do you need to be a Smart Factory Engineer?
Core skills for a Smart Factory Engineer include Industrial automation, Robotics programming, PLC/SCADA systems, Data analytics, Process optimisation and Troubleshooting.
How do you become a Smart Factory Engineer?
Common entry routes into Smart Factory Engineer roles include Junior Automation Engineer, Manufacturing Engineer and Electrical Engineer.
What career progression is there for a Smart Factory Engineer?
From a Smart Factory Engineer role, common next steps include Senior Smart Factory Engineer and Automation Lead; lateral moves include Robotics Engineer and Industrial IoT Specialist.
What is the job outlook for Smart Factory Engineer roles?
The outlook for Smart Factory Engineer roles is currently rated excellent. New job opportunities are highly likely. Demand significantly outpaces supply in most markets.
Will AI replace Smart Factory Engineer roles?
Traitstack rates automation risk for Smart Factory Engineer roles at 65 out of 100, which is strong. Human ingenuity in system architecture and complex problem-solving remains key, even as AI increasingly generates code, optimizes robot paths, and performs advanced data analytics. AI is most likely to take on generating plc and scada code for automation systems, optimizing robot path planning and motion control algorithms and performing advanced data analysis for process bottlenecks. Designing and architecting complex automated production systems, integrating diverse technologies like robotics, iot, and ai platforms and troubleshooting and debugging sophisticated software and hardware issues stay with people. Architecting integrated systems with AI assistance. That score measures how much of the work could change, not the likelihood the job disappears. It is Traitstack's current view, revisited as AI capability moves.