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Computer Vision Engineering - L3, L4

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Onsite

Computer Vision Engineering - L3, L4

Perceptyne Robots

Computer Vision Engineering - L3, L4

2 years ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job highlights

  • Bachelors / Masters / PhD in Computer Science / Electronics / Mechanical Engineering or equivalent
  • . At Perceptyne,we greatly value these dichotomies: . Having experience while not losing a first principles approach
  • Greater than 4 years of industry experience working in computer vision

About Perceptyne:

Perceptyne Robots is a deep-tech robotics company building highly dexterous, low-cost, and contextually intelligent robots to automate tasks that largely remain elusive to robots, even today! These robots can be used in areas like electronics product assembly, e-commerce packaging, food preparation, etc. We are building technology that will push the boundary of robotics as we know it today!

( www.perceptyne.com )

How is it like to work at Perceptyne

At our core, we like to build things, we evangelize great ideas, and we are grounded.

At Perceptyne, we greatly value these dichotomies:

  • Having experience while not losing a first principles approach.
  • Having a large vision while not losing attention to detail
  • Working on disruptive tech while hitting the market ASAP

Work Description:

Computer vision forms a central part of controlling robots that we build at Perceptyne. As computer vision engineer at Perceptyne, you will be responsible for building the vision processing pipeline for our robots including: high frame-rate acquisition, sensor fusion, image enhancement, segmentation, estimation, tracking and AI/ML modules that go into our robot. We are looking at experienced (3 - 8 years) computer vision candidates for joining our team.

Requirements

  • Bachelors / Masters / PhD in Computer Science / Electronics / Mechanical Engineering or equivalent.
  • Greater than 4 years of industry experience working in computer vision.

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