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Careers at CNH
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Robotics Engineer Intern

Full Time
full-time
$19 - $31/hr
1 Nov 2025
Phoenix, AZ
Internship Available

Content + Source + Freshness • 17 Dec 2025 • 95% confidence

82 / 100

Offer value

High value derived from involvement in advanced robotics and immediate practical application of skills in autonomous technologies.

  • Engagement with leading robotics projects
  • Collaboration with skilled engineers
  • Excellent pay range for internship position
Pros
  • Hands-on experience with cutting-edge robotics technology
  • Collaboration with knowledgeable professionals in the field
  • Competitive hourly wages that reflect market demand
Cons
  • Internship may lead to uncertainty in long-term employment
  • Job responsibilities may vary based on project requirements
  • High expectations for performance and results

Who it's for

Intern/Entry-level • Onsite

Good fit
  • Engineering students focused on robotics
  • Tech-savvy individuals keen on autonomous systems
  • Candidates with a strong interest in working on innovative technologies
Not recommended for
  • Individuals without a background in engineering or robotics
  • Those seeking purely remote internships
  • Candidates uninterested in practical, hands-on experience

Motivation fit

Desire to work on real-world robotics challengesInterest in developing sensor-based technology and algorithmsAspiration to kick-start a career in robotics engineering

Key skills

Data analysisSensor calibrationRobotics programmingCollaboration with engineering teams
Score: 82/100 AI verified analysis

About the job

CNH is seeking a Robotics Engineer Intern to join their team in Phoenix, AZ. The role involves supporting sensor calibration, evaluation, and data analysis for autonomous vehicles.As a Robotics Engineer Intern, you will gain hands-on experience in the Robotics Engineering team, focusing on surround sense technology and algorithm development for autonomous vehicles. Your responsibilities will include supporting camera and lidar calibrations, conducting data collection and analysis, and collaborating with engineers to validate perception algorithms.

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