17-2199.08

Robotics Engineers

Research, design, develop, or test robotic applications.

1.6OUT OF 10SAFEHIGH RISK
Low Risk

You're basically automation-proof

Only 8% of jobs we track are safer than this

Frey & Osborne (2013) estimated 1% probability of automation for this role
paper →
8%
of jobs safer
939
jobs riskier than this
+2.1%
projected growth

Disruption Vector

Disruption Type

Hybrid Threat

Both AI software and physical automation threaten different aspects of this role, creating a compound risk from multiple directions.

Robotics Engineers are in the paradoxical position of building the systems that could displace others, while themselves benefiting from AI tools like simulation environments (NVIDIA Isaac Sim), AI-assisted control system design, and LLM-assisted code generation. Demand for robotics engineers is growing rapidly as companies invest in automation. The role is highly resilient through 2027, with Boston Dynamics, Figure AI, and similar companies expanding their engineering teams.

Disrupted byBoston DynamicsChatGPT / GPT-4oAmazon Robotics

Salary & Job Outlook

Median Annual Pay
$117,750
US Bureau of Labor Statistics
10-Year Job Growth
+2.1%
As fast as average
Education Required
Bachelor's degree
Job Zone 4 / 5

AI Risk Timeline

1.6
1.9
2.2
2.8
Today
5 Years
10 Years
20 Years

Projection model: Based on current AI capability growth rates. High-risk occupations are projected to see compounding automation pressure, while human-centric roles show slower risk accumulation. These are statistical projections, not guarantees.

Skills Analysis — AI Vulnerability

AI can replicate (0)
AI-resistant (1)
Mixed
Critical Thinking80%
Active Learning75%
Complex Problem Solving78%
Judgment and Decision Making82%
Reading Comprehension72%

Similar Safe Careers

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Robotics Engineers

1.6
/ 10
Low Risk
16% automation risk

"Congrats — you are delightfully robot-proof. Go touch some grass."

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ROBOTICS ENGINEERS
1.6

/ 10

LOW RISK

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You're safer than 8% of all knowledge workers we track.

This analysis is for informational purposes only and is based on statistical models and academic research. It does not constitute career advice and is not a guarantee of future employment outcomes. AI impact varies significantly by employer, region, and individual circumstances. Learn about our methodology →