Robotics Data and Interface Systems Intern

Pace Robotics is a construction robotics startup incubated by SINE IIT-Bombay and backed by Pidilite Ventures and IIMA Ventures. We are making the construction process faster, smarter and efficient through robots that can do advanced construction tasks and digitize execution data in real time. Our first product is a modular wall finishing robot for plastering, putty and painting of building interiors. Our customers include some of the biggest names in Indian real estate and construction.

About the Role:

We are looking for a
Robotics Data and Interface Systems Intern
who can bridge the gap between human operators, robotic software, and embedded systems.

In this role, you will build
native GUI interfaces
for robot control and status monitoring, while also developing
data collection and visualization pipelines
to better understand the robot's performance in real-world environments. You'll work hands-on with
ROS / ROS 2
,
edge devices (Jetson Orin)
, and
live robot data
, contributing directly to the systems that make our robots more intelligent and operator-friendly.

Responsibilities:

• Design and develop a
  native GUI
  (non–web based) using
  Qt / PyQt / PySide6
  .
• Interface GUI components with
  ROS 1
  /
  ROS 2 nodes, topics, and services
  .
• Implement control panels for actions such as navigation, system start/stop, and diagnostics.
• Display real-time feedback such as battery status, sensor data, or camera and LiDAR views.
• Optimize the GUI for performance on the
  Nvidia
  Jetson
  based edge devices.
• Ensure re
  About
  liable communication between the UI and ROS backend.
• Test and refine the system directly on physical robot hardware.
• Develop
  data logging pipelines
  to record and manage robot telemetry, sensor data, and system states.
• Create tools and visualizations for analyzing data — such as robot paths, velocities, system diagnostics, or sensor outputs.
• Work closely with robotics engineers to test, refine, and deploy the developed systems on physical robots.

Required Skills:

• A recent graduate (graduation year: 2025) in Computer Science, Robotics or any other relevant engineering discipline or about to graduate in 2026.
• Strong proficiency in
  Python
  (or C++) and
  Qt / PyQt / PySide6
  for desktop GUI development.
• Strong proficiency in
  Python
  (or C++) with experience in modular, maintainable code design.
• Working knowledge of
  ROS
  concepts — publishers, subscribers, services, and launch files.
• Comfort with
  Linux / Ubuntu
  systems and development on embedded platforms.
• Understanding of
  asynchronous programming
  and event-driven architectures.
• Familiarity with version control (Git) and collaborative software development.
• Experience with
  data handling and visualization
  using libraries such as
  Pandas, NumPy, Matplotlib, or Plotly
  .

Bonus Skills:

• Experience with
  rqt plugin development
  or ROS-integrated visualization tools..
• Awareness of
  UI/UX design principles
  — visual hierarchy, color contrast, and operational clarity.
• Exposure to
  rosbag
  ,
  custom logging scripts
  , or similar data recording mechanisms.
• Basic understanding of
  Docker
  ,
  system services
  , and
  deployment pipelines
  for embedded systems.
• Familiarity with
  basic data analytics
  or simple statistical methods for telemetry insights.
• Ability to integrate live plots or performance graphs directly into the GUI.

Personal attributes:

• Strong sense of curiosity and an eagerness to learn new concepts, technologies, and methodologies.
• Thrives in cross-functional, fast-paced R&D environments.
• Highly organized and methodical in everything you do

What you'll gain?

• First-hand experience developing deployable software on
  real robotic systems
  .
• A solid understanding of
  data pipelines in robotics
  — from acquisition to visualization.
• Practical exposure to
  ROS 2
  ,
  Jetson edge computing
  , and
  human-robot interfaces
  .
• End-to-end project ownership — from concept to on-robot testing.
• Mentorship in software design for high-performance, real-world robotic systems.