Systems Engineering & Integration Engineering

Vision Systems Engineer (Lead) Location: Panvel, Maharashtra (On-site)

Stardust CPS Pvt. Experience: 4–8 years in machine vision or industrial imaging systems

About Stardust CPS At Stardust CPS, we design and manufacture high-speed banknote inspection and authentication systems for central banks and financial institutions.

Our machines combine optics, embedded control, FPGA processing, and vision intelligence to inspect and sort every banknote with precision and speed. We've completed our first-generation platform with our technology partners and are now building an in-house innovation team to take it further.

This team will be responsible not only for refining current systems but also for developing next-generation inspection technologies using newer cameras, lighting systems, frame grabbers, and AI-driven analytics.

About the Role As the Vision Systems Engineer (Lead), you'll be at the center of Stardust CPS's imaging and algorithmic development. You'll lead the design, development, and optimization of image-processing pipelines from camera calibration to defect classification ensuring our machines stay at the forefront of secure currency inspection.

You will also spearhead R&D for new vision architectures, experimenting with next-generation hardware, AI-based defect detection, and advanced imaging methods that redefine how inspection systems see and think.

Design, develop, and enhance vision algorithms for banknote inspection using MVTec Halcon, VisualApplets, and OpenCV.

Build and optimize defect classification, print-quality assessment, and serial number OCR models.

Collaborate with FPGA and embedded engineers to maintain high-speed, low-latency capture.

Prototype and test new imaging architectures (multi-camera, 3D, or AI-enhanced) for upcoming product lines.

Data Intelligence & AI Enablement

Build structured datasets from real inspection runs and explore AI/ML-based quality prediction models.

Work with Python/TensorFlow or Halcon's Deep Learning Toolkit for adaptive classification and feature detection.

Continuously improve detection reliability through data feedback loops.

Collaborate with FPGA/Embedded Engineers to fine-tune trigger and acquisition systems.

Work with Software Integration Engineers to deploy algorithms into the main control software.

4–8 years of experience in machine vision or industrial inspection systems.

• Experience with VisualApplets, CameraLink / CoaXPress / GigE Vision systems.
• Familiarity with JAI / Basler / FLIR cameras, Euresys / Silicon Software frame grabbers.
• Programming in Python or C++ (OpenCV, NumPy, TensorFlow optional).
• Ability to collaborate across embedded, software, and mechanical teams.

Curiosity for emerging imaging technologies and AI-driven inspection.

Lead R&D to integrate newer cameras, sensors, and imaging architectures into future models.

Build the foundation for AI-powered, adaptive inspection that learns from data.

Help position Stardust CPS as a global leader in next-generation banknote inspection systems.

Work directly on real industrial systems that merge optics, electronics, and AI.

Build technologies that protect currency integrity worldwide.

Collaborate with a focused, founder-led engineering team that values precision and innovation.

Be part of a company transforming 'Make in India' into a global standard in high-speed inspection technology.