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Intern Dimensional Engineer Jobs (NOW HIRING)

NEW YORK EDGE, INC

Graphic Design Intern

Hollis, NY · On-site

$20/hr

... programming in New York City, serving over 33,000 students annually across all five boroughs and ... or dimensional design projects as needed. * Digital Media: Design graphics, illustrations, and ...

Catalent, Inc.

Metrology Intern

San Diego, CA · On-site

$20/hr

... dimensional, optical, physical, mechanical, environment, and/or chemical test equipment in the ... Must currently be a full time Physical Science (Chemistry, Biology, or applicable) or Engineering ...

Lyten, Inc.

Intern - Planning and Logistics

San Jose, CA · On-site

$25 - $32/hr

Lyten's pristine three-dimensional graphene materials greatly improve characteristics of other ... Experience programing simple projects in any programming language: python, R, Rust, C++, javascript ...

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Intern Dimensional Engineer information

Are mechatronic engineers in high demand?

Mechatronic engineers are in high demand due to their expertise in integrating mechanical, electrical, and software systems, especially in automation, robotics, and manufacturing industries. The role often requires knowledge of control systems, sensors, and programming, making it a valuable skill set in evolving technological fields.

What does a dimensional engineer do?

A dimensional engineer is responsible for ensuring the precise measurement and control of physical dimensions of components and assemblies, often using tools like calipers, coordinate measuring machines (CMM), and CAD software. They analyze measurement data to verify parts meet design specifications and support quality control in manufacturing environments.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare technical expertise and certifications.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. These roles typically require advanced skills, extensive experience, and sometimes leadership positions or entrepreneurial ventures.
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What are the most commonly searched types of Dimensional Engineer jobs? The most popular types of Dimensional Engineer jobs are:
What states have the most Intern Dimensional Engineer jobs? States with the most job openings for Intern Dimensional Engineer jobs include:
Intern Dimensional Engineer jobs near you

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Posted 5 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)