ISP Tuning Expert/Lead

Indian Institute of Technology Delhi (IIT Delhi); Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

The Indian Institute of Technology Delhi (IIT Delhi) is seeking an ISP Tuning Expert/Lead to optimize imaging performance across various camera pipelines. This role will focus on achieving optimal color accuracy, sharpness, and visual quality.

The ideal candidate will have extensive experience in multimedia technologies and image processing algorithms, contributing to the design and implementation of image quality tuning.

Join us in shaping the future of imaging technology!

Qualifications

• 6-15 years of experience in multimedia/embedded technologies.
• Solid knowledge of digital/image processing.
• Working experience with image processing algorithms and background in color science.

Responsibilities

• Design and develop camera image processing pipeline for various use cases.
• Implement algorithms on target hardware and provide optimization.
• Evaluate ISP hardware and find optimized tuning interfaces.

Skills

Image processing algorithms

Digital/image processing

Color science

Computer vision algorithms

C/C++ programming

Machine learning frameworks

Tools

TensorFlow

Keras

PyTorch

Job description

Job Description

ISP Tuning Expert / Lead is responsible for image quality (IQ) optimization by tuning and validating ISP algorithms across the camera pipeline. The role focuses on achieving optimal color accuracy, noise reduction, sharpness, dynamic range, and overall visual quality across different sensors, lighting conditions, and use cases.

This position works closely with camera HW, sensor vendors, algorithm teams, and product engineering to deliver best-in-class imaging performance.

Role & Responsibilities

• Design and development of camera image processing pipeline for Mobile/Automotive/XR /AR/Compute use cases
• Implementing algorithms on the target hardware and providing optimization to meet requirements in terms of image quality, power, latency
• Evaluating ISP hardware and software modules, finding the best-optimized tuning interfaces
• Deeper investigation into existing modules and coming up with interfaces that could simplify the tuning
• Identify and improve existing algorithms for better user experience
• Image quality metric development for mobile/XR/AR devices
• Strong understanding of camera fundamentals, 3A algorithms, ISP modules, optics, and color science
• 3A + ISP image quality tuning to achieve desired image quality
• Debugging and troubleshooting existing software and image quality issues
• Partnering with global development teams and external customers
• Development of computer vision (CV) and machine learning (ML) features

Minimum Qualifications

• 6-15 years of experience in multimedia/embedded technologies
• Solid knowledge of digital/image processing
• Working experience with image processing algorithms; background in color science and image signal processor pipelines is a plus
• Working experience in image or video quality metrics development, algorithm optimizations
• Knowledge/working experience in computer vision algorithms
• Exposure or working experience in camera, video or multimedia accelerators
• Background in machine learning and working experience with machine learning frameworks/packages (e.g., TensorFlow, Keras, PyTorch)
• Experienced working with real‑time/embedded systems is a plus
• Experienced in development of driver and frameworks for multimedia systems including camera, audio, video, display and graphics is a plus
• Programming skills in C/C++, MATLAB, Python

Preferred Qualifications

• Strong knowledge of and experience in camera image quality tuning
• Experience in Linux camera sensor driver bring‑up
• Knowledge/experience of 3A algorithms and image signal processor (camera hardware) tuning experience
• Experience with objective image quality evaluation metric using tools like IMATEST, IQ Analyzer, etc. is a plus
• Experience working in an imaging lab with various test charts and lighting setups
• Working experience with image/camera/signal processing algorithms
• Working experience with Android/Linux camera/embedded systems