Computer Engineering Intern

Vision Archi

IndiaFresher50m agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year · Bachelor's degree
Must know
Data structures & algorithmsPython
Nice to have
Computer visionEmbedded systems
Work
On-site in India · internship
Pay
Not stated by the employer.
Skill demand
Embedded systems23%Python22%Data structures & algorithms16%Computer vision3%of 99 similar fresher jobs posted in India this week
Listed
12 Nov 2026 · still open

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About the Role

Vision Archi is a young team focused on building and prototyping edge AI technologies in computer vision, visual perception, and sensor fusion. The team develops systems that run directly on embedded hardware such as MCUs and FPGAs, turning camera and sensor data into efficient on-device intelligence.

This is a full-time remote role for a Computer Vision Engineering Intern.

Key Responsibilities

  • Assist in designing, implementing, and testing computer vision and edge AI algorithms that run on embedded hardware.
  • Write and debug code.
  • Work with camera and sensor data.
  • Experiment with MCU and FPGA platforms.
  • Help prototype hardware setups for vision and perception systems.
  • Document experiments.
  • Prepare technical content to support video production.
  • Collaborate with engineers on sensor fusion and embedded system integration.
  • Participate in code reviews.
  • Contribute to small research and development projects.
  • Learn best practices for building robust edge AI pipelines.
  • Carry out technical research into computer vision and visual perception methods.
  • Build prototypes, test them, and document findings.
  • Help turn promising ideas into working demos for videos and projects.
  • Work with the team to share results through writing and video.

Requirements & Tech Stack

  • Python skills
  • Interest in computer vision, embedded systems, sensors, or hardware (strong plus)

Qualifications

  • Curiosity and a drive to build and experiment.
  • Dedication to finishing what you start and learning from what breaks.
  • Logical, step-by-step approach to problems.
  • Currently enrolled in a bachelor’s degree in engineering or science, in your 1st, 2nd, or 3rd year.

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