Computer Vision Engineering - L3, L4
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Salary
$11k – $32k per year
Location
In office (Hyderabad)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Mar 12, 2025. Perceptyne scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Perceptyne is a deep-tech robotics and AI company developing industrial humanoid and semi-humanoid robots that automate complex, dexterous factory tasks using AI, advanced sensing and vision technologies. Its job ads cover customer project managers, computer vision engineers, field application engineers and production engineers. The company is based in Hyderabad, Telangana, India.
Backed by Bharat Innovates, Endiya Partners, Yali Capital
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!
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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