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Software Engineering Intern- AI Integration

Ametek - Work Location (Country) United States | Remote/Onsite Onsite

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Software Engineering Intern- AI Integration Work Location (Country) United States | Remote/Onsite Onsite About Us: Join our AMETEK IntelliPower team, where we design and deliver high-performance, ruggedized uninterruptible power systems (UPS) and frequency/voltage conversion solutions to safeguard mission-critical operations. Be a part of a team that ensures the reliability and protection of essential systems in the toughest environments, making a direct impact on critical industries worldwide! Job Summary: We are seeking an enthusiastic and forward-thinking student to drive hands-on projects that help implement AI best practices across our organization. This role is ideal for someone passionate about artificial intelligence, operational excellence, and solving real business problems with practical, scalable solutions. The AI Integration intern will design and implement a standardized, scalable datasheet framework across all IntelliPower products. The intern will lead the effort to audit existing datasheets, identify specification inconsistencies and errors, and migrate all content into a unified, current template. The project will leverage AI-assisted tools, engineering validation, and marketing alignment to ensure all datasheets are technically accurate, visually consistent, and market-ready. The standardized datasheet system will improve data integrity, reduce internal confusion, and enhance customer trust while enabling faster updates going forward. Key Responsibilities: Lead an end-to-end‑ project focused on implementing the best AI practice to deliver a standardized datash

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