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Internship Mems Process Engineer Jobs in New York

Chaincode Labs

internship

New York, NY · On-site

Chaincode has leading open-source developers and researchers, and offers a supportive ... Chaincode Labs is an equal opportunity employer and does not discriminate in its hiring process ...

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All JobsMems Process Engineer JobsInternship Mems Process Engineer JobsInternship Mems Process Engineer Jobs in New York

Internship Mems Process Engineer information

What is the difference between Internship Mems Process Engineer vs Mems Process Engineer?

AspectInternship Mems Process EngineerMems Process Engineer
QualificationsEnrolled in or recent graduate of engineering or related programBachelor's or higher in engineering, with experience preferred
Work EnvironmentInternship setting, often in R&D labs or manufacturing facilitiesFull-time professional role in MEMS fabrication or design
ResponsibilitiesAssisting process development, learning fabrication techniquesDesign, optimize, and troubleshoot MEMS manufacturing processes
Industry UsageEntry-level, educational focus, training periodOperational, development, and production tasks in MEMS industry

The main difference between an Internship Mems Process Engineer and a Mems Process Engineer is experience level and scope. Internships are educational roles for students or recent graduates, focusing on learning and assisting, while Mems Process Engineers are full-time professionals responsible for designing and improving MEMS manufacturing processes.

What are the most commonly searched types of Mems Process Engineer jobs in New York?

The most popular types of Mems Process Engineer jobs in New York are:

Internship Mems Process Engineer jobs near you

Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$34.44/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Application Deadline

September 1st at 11:59 pm EST

Program Summary

Data Science & Technology Internship

Company Overview

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk‑adjusted returns for our investors since our formation.

Position Overview

CCI is developing a leading‑edge analytics platform. We are looking for motivated and detail‑oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our Stamford, CT office. This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You'll collaborate closely with other Software Engineer's, Data Scientist's, and Commercial end users, contributing to our front office platform through hands‑on development projects using Python, cloud technologies (AWS), APIs, and Snowflake.

Responsibilities
  • Contribute to the development of front office software tools that support real‑time trading, market data analytics, and visualization.
  • Work with the commercial trading team to optimize and re‑engineer pricing models, decision tools, and trading workflows.
  • Build and enhance Python‑based microservices and APIs for internal data access and operations automation.
  • Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics.
  • Participate in cloud‑native application development using AWS services, including Kubernetes and Kafka.
  • Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines).
  • Collaborate with the Data Science team to help integrate ML‑driven analytics into front office workflows.
Qualifications
  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Management Information Systems, or related technical field of study.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.).
  • Familiarity with version control tools (e.g., Git) and software development best practices.
  • Strong problem‑solving abilities and an eagerness to learn about financial markets and trading systems.
  • Excellent communication skills and ability to work in a fast‑paced, collaborative environment.
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