06 Sep
|
NMTronics India
|
Bengaluru
06 Sep
NMTronics India
Bengaluru
Role : Software Application Engineer (Vision)
Location: Bengaluru
Experience: 1-3 Years
What you will do :
- Work with senior engineers to set up and maintain industrial camera and lighting systems for EMS (Electronics Manufacturing Services) defect detection.
- Learn to calculate camera, lens, and lighting parameters — sensor size, field of view,
depth of field — and apply them to achieve repeatable image capture on the factory floor.
- Assist in designing lighting configurations that make specific manufacturing defects clearly visible.
- Build a working understanding of radiometry, photometry, and photogrammetry as applied to calibration and optical inspection.
- Support camera calibration, stereo vision setups, and depth estimation experiments under guidance.
- Apply classical image processing and computer vision techniques (OpenCV) to preprocess images, extract features, and prototype deterministic inspection algorithms.
- Help integrate vision software with factory workflows and production systems.
- Capture, validate, and curate high-quality image datasets for model training and evaluation.
Preferred Qualification :
- Bachelor's/Master's in CS, EC,
or related branches; candidates from other backgrounds with a strong skill match are also considered.
- Solid fundamentals in Deep Learning (vision models, modern architectures) along with
Linear Algebra and 3D Geometry for optics and machine vision.
- Solid grasp of data structures, algorithms, OOP, and multithreading/concurrency basics.
- Proficiency in Python, SQL, and Bash; C++ exposure is a plus.
- Sound understanding of database management concepts — schema design, indexing,
normalization, and query optimization.
NMTronics (NEST Division) builds automation solutions for the Electronics Manufacturing
Services (EMS) industry. As part of this role, the candidate is expected to be eager to learn about EMS manufacturing processes during the initial stages of onboarding, and to stay flexible in picking up a wide range of technical skills. This learning mindset is essential, as the role involves supporting and contributing across the entire product development lifecycle — from understanding the factory floor to helping build and refine the final product.
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