Internship: Robotics Engineering

Posted 9 Days Ago
Be an Early Applicant
New York, NY, USA
In-Office
Internship
Fashion • Information Technology • Robotics • Software • Automation
The Role
As a Robotics Engineering Intern, you'll develop and maintain ROS 2 nodes, integrate robotic arms with automation systems, and validate robotic behavior on hardware.
Summary Generated by Built In
About Silana

Silana is a deep tech robotics startup automating garment manufacture. We design and develop robotic systems that handle soft, deformable materials in production environments - a problem at the frontier of industrial automation. If you want to work on hard robotics problems with real-world impact, this is the place.

The Role

We're looking for a Robotics Engineering Intern to join our engineering team in Manhattan. You'll work directly alongside our robotics and controls engineers on systems that integrate robotic arms, computer vision, and industrial automation hardware. This is a hands-on role - you'll be writing code that runs on physical machines, not simulations.

This internship is best suited for someone with real-world experience in robotic manipulation and industrial automation.

What You'll Do
  • Develop and maintain ROS 2 nodes for robotic arm control, motion planning, and sensor integration
  • Work with Universal Robots cobots and integrate them into multi-subsystem automation cells
  • Interface ROS 2 with industrial automation components including PLCs and EtherCAT-based I/O
  • Test, debug, and validate robotic behavior on physical hardware in our workshop
  • Write clean, documented, and maintainable code within a collaborative engineering team
  • Participate in integration testing and system commissioning for customer deployments
What We're Looking For
  • Currently pursuing or recently completed a degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field
  • Strong working knowledge of ROS 2 (Humble or later), comfortable with nodes, topics, services, actions, launch files, and lifecycle management
  • Hands-on experience with robotic arms (UR, KUKA, Fanuc, ABB, or similar) in a lab or industrial context
  • Proficiency in Python and/or C++ for robotics applications
  • Familiarity with motion planning frameworks (MoveIt 2, or equivalent)
  • Understanding of coordinate frames, transforms (tf2), and URDF/Xacro
  • Comfortable working in Linux (Ubuntu) environments and using Git for version control
Nice to Have
  • Experience with industrial communication protocols (EtherCAT, Modbus, OPC UA)
  • Exposure to PLC-based automation systems (Beckhoff TwinCAT, Siemens, Allen-Bradley)
  • Background in computer vision or depth sensing for manipulation tasks
  • Familiarity with Docker, CI/CD pipelines, or embedded compute platforms (NVIDIA Jetson)
  • Prior internship or project work in a manufacturing, warehouse, or industrial automation setting
Why Silana
  • Work on a genuinely unsolved robotics problem, automating the production of soft, deformable goods
  • Work on real systems, not just simulations.
  • Small team, high ownership, your contributions will be visible and meaningful
  • Learn from experienced engineers across mechanical, electrical, controls, and software disciplines
  • Based in the heart of NYC's Garment District, surrounded by the industry we're transforming
Compensation & Logistics
  • This is a paid internship
  • Duration: 10 weeks (June - August 2026)
  • Full-time, 40 hours/week, on-site in Manhattan's Garment District
  • Must be authorized to work in the U.S.

Top Skills

C++
Ethercat
Git
Linux
Modbus
Moveit 2
Opc Ua
Python
Ros 2
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The Company
HQ: Vienna
14 Employees
Year Founded: 2022

What We Do

We are silana – automated fashion production. We founded this robotics startup to fully automate the production process in the fashion industry. Currently, fashion is mainly produced in Southeast Asia & (newly) in African Countries, which leads to tremendous lead times, an incredible CO2-emission through broad transportation, and slave-like working conditions. This industry faces issues in the whole tripple-bottom-line.

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