Robotics Summer Intern

silana

New York (NY)

On-site

USD 20,664 - 41,328

Full time

14 days+

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Job summary

A deep tech robotics startup in Manhattan is seeking a Robotics Engineering Intern to work on integrating robotic arms and automation hardware. The role involves developing code for real-world robotic applications, debugging on physical systems, and collaborating with a team of engineers. Candidates should be pursuing a degree in engineering with strong knowledge of ROS 2, and hands-on experience with robotic arms. This is a full-time paid internship, requiring presence in Manhattan's Garment District.

Qualifications

  • Pursuing or recently completed degree in a relevant engineering field.

Responsibilities

  • Develop and maintain ROS 2 nodes for robotic arm control.
  • Integrate Universal Robots cobots into automation cells.
  • Interface ROS 2 with industrial automation components.
  • Test and debug robotic behavior on physical hardware.
  • Write clean and maintainable code in a collaborative environment.
  • Participate in integration testing and system commissioning.

Skills

ROS 2
Robotic arms experience
Python programming
C++ programming
Motion planning frameworks
Linux operating system
Git

Education

Degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science

Job description

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.

About 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, as opposed to mobile robotics or simulation / academic research.

Responsibilities
  • 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
Qualifications
  • Currently pursuing or recently completed a degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field
Required Skills
  • 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
Preferred Skills
  • 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
Pay range and compensation package

This is a paid internship

Full‑time, 40 hours/week, on‑site in Manhattan's Garment District

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