Image Quality & ISP Tuning Engineer

Amazon.com; Tampere; On-site; EUR 70,000 - 95,000; Full time

Job summary

Amazon Tampere is seeking a System Development Engineer focused on ISP tuning and image quality validation. You will work with firmware, scientists, and stakeholders to optimize the imaging pipeline from sensor data to color image, tuning ISP parameters and validating image quality across diverse conditions.

You will learn and apply the latest IQ tools, develop automated tests, and contribute to validation campaigns that ensure high-quality Ring camera imaging in real-world environments.

Qualifications

• MSc/BS or equivalent in a relevant field is required.
• Strong understanding of ISP tuning and image processing pipelines.
• Experience validating image quality in camera systems using objective metrics.
• Proficiency with Python or MATLAB for data analysis and visualization.
• Familiarity with automated validation frameworks and test protocols.
• Comfortable working with hardware-constrained imaging systems.

Responsibilities

• Optimize ISP parameters to achieve best image quality across lighting conditions.
• Implement and refine testing methodologies for image quality validation.
• Collaborate with firmware, IQ, and hardware teams to improve imaging pipelines.
• Develop automated tests and validation campaigns to increase coverage.
• Document tuning strategies and share methodologies across products.

Skills

ISP tuning

Image quality validation

Analytical thinking

Communication

Education

MSc, BSc, or equivalent

Tools

Python

MATLAB

Job description

Amazon Tampere is seeking a System Development Engineer focused on ISP tuning and image quality validation. You will work with firmware, scientists, and stakeholders to optimize the imaging pipeline from sensor data to color image, tuning ISP parameters and validating image quality across diverse conditions.

You will learn and apply the latest IQ tools, develop automated tests, and contribute to validation campaigns that ensure high-quality Ring camera imaging in real-world environments.