Occupation intelligence

robotics engineer

Snapshot

Shape the future of automation as a robotics engineer! Combining engineering principles with computing and electronics, you'll be at the forefront of designing and developing innovative robotic solutions for a wide range of industries.

Summary

As a robotics engineer, your days are likely to involve a blend of design, development, testing, and problem-solving. You’ll work with mechanical, electrical, and software components to create functional robotic systems. This could mean designing a new robotic arm for a manufacturing plant, developing algorithms for autonomous navigation, or improving the efficiency of existing robotic applications. The role demands a strong understanding of engineering principles and a passion for innovation.

Key responsibilities
  • • Designing and developing robotic systems and components, integrating mechanical, electrical, and software elements.
  • • Developing and implementing control systems and algorithms for robotic operation, including navigation and manipulation.
  • • Testing and troubleshooting robotic prototypes and systems, identifying and resolving technical issues.
73%
Resilience Score

Shape the future of automation as a robotics engineer! Combining engineering principles with computing and electronics, you'll be at the forefront of designing and developing innovative robotic solutions for a wide range of industries.

Advanced Manufacturing Bachelor's or equivalent level 29% AI exposure
Start Career DNA assessment
Quick fit check

Could robotics engineer fit you?

Answer three quick questions. This is not a full assessment — it is a teaser to help you decide whether to compare your profile.

Progress0/3

Do you enjoy tasks that require Analytical Thinking?

Do you enjoy tasks that require Attention to Detail?

Do you enjoy tasks that require Persistence?

NexFuture

Future Outlook for robotics engineer

The outlook for robotics engineer is exceptionally stable. While AI tools will assist with daily tasks, the core of this role relies on human judgment, resulting in a high resilience score of 72.8%.

How are these scores calculated?

The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.

Play the future

How could robotics engineer change as AI adoption grows?

This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.

Significant task-level transformation is estimated in 18 years (around 2044) under the selected Expected Pace scenario.
72%
Resilience
Automation Risk
EXP38%
Human advantage
MOAT68%
2026
2036
2049
AI Adoption Speed:

How AI may change this role

Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.

Human-owned 73% Human-owned
What still depends on people

This role remains strongly human-led where adjust engineering designs depends on trust, nuance, and real-world judgement.

The Human Edge To stay ahead in this role, focus on engineering processes and human-robot collaboration. These human-centric skills are the hardest for AI to replicate in the next 20 years.
Assist 55% Assist
Where AI may become a co-pilot

AI is more likely to assist supporting tasks such as approve engineering design, documentation, search, and workflow coordination.

Automate 29% Automate
Tasks most exposed to automation

Automation pressure appears selective rather than broad, with the strongest signal currently coming from Generative AI.

Detailed Analysis

Vital Signs, AI Vectors & Megatrends

Show more

Vital Signs

AI Exposure Vectors

0-100%
Generative AI 54.6%

Exposure to content generation, creative augmentation, and large language model tools

Cognitive Software 31.9%

Exposure to workflow automation, decision-support software, and process digitisation

Robotic & Physical Automation 15.6%

Exposure to physical automation, robotics, and sensor-driven task displacement

AI / Machine Learning 15.3%

Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks

Megatrend Signals

0-100%
Geopolitical Change 47%
Digital Transformation 21%
Spatial Change 21%
Demographic Shift 3%
Regulatory Pressure 3%
Green Transition 0%

Model-derived scores. Indicates structural exposure to megatrends, not direct demand.

Technical Details
Methodology: NexFuture v2.0 Sources: O*NET 30.0, ESCO v1.2.0 Updated: May 2026

NexFuture™ v2.0 combines O*NET ability and activity profiles with ESCO skill group distributions and six global megatrend signals. Scores are probabilistic estimates, not guarantees. See the NexFuture™ Methodology White Paper for full details.

Day in the life

What people in this role usually do

Advanced Manufacturing

Day in the life

A typical day as a robotics engineer

09
09:00 · Morning
assess financial viability
Revise and analyse financial information and requirements of projects such as their budget appraisal, expected turnover, and risk assessment for determining the benefits and costs of the project. Assess if the agreement or project will redeem its investment, and whether the potential profit is worth the financial risk.
10
10:30 · Mid-morning
execute feasibility study
Perform the evaluation and assessment of the potential of a project, plan, proposition or new idea. Realise a standardised study which is based on extensive investigation and research to support the process of decision making.
12
12:00 · Midday
adjust engineering designs
Adjust designs of products or parts of products so that they meet requirements.
14
14:00 · Afternoon
approve engineering design
Give consent to the finished engineering design to go over to the actual manufacturing and assembly of the product.
15
15:30 · Late afternoon
design automation components
Design engineering parts, assemblies, products, or systems that contribute to the automation of industrial machines.
17
17:00 · Wrap-up
develop computer vision system
Apply and combine different computer vision tools and methods such as image acquisition, image processing, image segmentation and classification, detection, etc. in one system to allow computers to extract information from digital images such as photographs or video.

Task order is illustrative. Individual days vary.

Software & Technologies & Knowledge areas
Software & Technologies
Amazon Web Services AWS softwareAtlassian JIRAAutodesk AutoCADAVEVA InTouch HMIBentley MicroStationCC#C++CODESYSCompilersComputer aided design and drafting CADD softwareComputer-aided engineering CAE softwareComputer aided software engineering CASE toolsConcurrent Versions SystemsDassault Systemes CATIADassault Systemes SolidWorksDebuggersFinite element analysis FEA softwareGazeboGit
Knowledge areas
  • engineering processes

    The systematic approach to the development and maintenance of engineering systems.

  • human-robot collaboration

    Human-Robot Collaboration is the study of collaborative processes in which human and robot agents work together to achieve shared goals. Human-Robot Collaboration (HRC) is an interdisciplinary research area comprising classical robotics, human-computer interaction, artificial intelligence, design, cognitive sciences and psychology. It is related to the definition of the plans and the rules for communication to perform a task and achieve a goal in a joint action with a robot.

  • mechanical engineering

    Discipline that applies principles of physics, engineering and materials science to design, analyse, manufacture and maintain mechanical systems.

Cross-sector skills
  • automatic control system
  • engineering principles
  • mechanics
Essential skills
designing industrial materials, systems or products
  • adjust engineering designs

    Adjust designs of products or parts of products so that they meet requirements.

programming computer systems
  • develop computer vision system

    Apply and combine different computer vision tools and methods such as image acquisition, image processing, image segmentation and classification, detection, etc. in one system to allow computers to extract information from digital images such as photographs or video.

conducting academic or market research
  • perform scientific research

    Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.

using computer aided design and drawing tools
  • use technical drawing software

    Create technical designs and technical drawings using specialised software.

analysing business operations
  • execute feasibility study

    Perform the evaluation and assessment of the potential of a project, plan, proposition or new idea. Realise a standardised study which is based on extensive investigation and research to support the process of decision making.

analysing financial and economic data
  • assess financial viability

    Revise and analyse financial information and requirements of projects such as their budget appraisal, expected turnover, and risk assessment for determining the benefits and costs of the project. Assess if the agreement or project will redeem its investment, and whether the potential profit is worth the financial risk.

designing systems and products
  • approve engineering design

    Give consent to the finished engineering design to go over to the actual manufacturing and assembly of the product.

designing electrical or electronic systems or equipment
  • design automation components

    Design engineering parts, assemblies, products, or systems that contribute to the automation of industrial machines.

Skill DNA

Skill DNA

Work personality traits and values that define this role

Key traits you need
Analytical Thinking Attention to Detail Persistence Achievement/Effort Initiative Integrity Dependability Innovation Cooperation Adaptability/Flexibility Stress Tolerance Self-Control Independence Leadership Concern for Others Social Orientation
Key rewards you can expect
AchievementWorking Condit…RecognitionRelationshipsSupportIndependence
Career progression

Growth Pathways & Similar Roles

Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.

Career landscape

Where does robotics engineer fit?

This role
robotics engineer This role

Similarity scores based on skill overlap from ESCO data.

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Common questions

Frequently asked questions

What kind of educational background is typically required to become a robotics engineer?
A bachelor's degree in robotics engineering, mechanical engineering, electrical engineering, or a related field is generally expected. Advanced degrees (master's or doctorate) can be beneficial for research-focused roles or specialized areas within robotics.
Are robotics engineers typically employed by large corporations, or are there opportunities for smaller companies and startups?
While many robotics engineers find employment in large manufacturing companies, automotive industries, and technology firms, there's a growing number of opportunities within smaller companies and startups, particularly those focused on developing specialized robotic solutions.
What are some of the key skills, beyond technical knowledge, that contribute to success as a robotics engineer?
Strong analytical and problem-solving skills are essential. The ability to work effectively in a team, communicate technical concepts clearly, and adapt to changing project requirements are also highly valuable. A detail-oriented approach and a commitment to continuous learning are crucial in this rapidly evolving field.