Pixxel Hiring Software Engineer | Satellite – Image Processing

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in Python language. Deep and up-to-date understanding of programming languages, software development methodologies, and relevant tools and technologies.
• Expert  in code engineering, optimization, and performance tuning.
• Write clean, efficient, and maintainable code. Proficiency in version control systems (e.g., Git) and code documentation practices.
• Ability to break down complex problems into manageable components, identifying root causes, and devising elegant and efficient solutions.
• Need to have a creative mindset to problem-solving. Can think outside the box and come up with innovative solutions when faced with challenging issues.
• The software engineering field is dynamic, with new technologies emerging regularly. The candidate should be adaptable and eager to learn and stay current with industry trends and tools.

Good to have:

• Familiarity with remote sensing, satellite imagery, and hyperspectral sensors is a plus.
• Knowledge of image processing libraries and tools such as OpenCV, scikit-image, and spectral libraries (ENVI/IDL, etc.) is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Detail-oriented with a commitment to producing high-quality work.
• Ability to work independently and in a team-oriented environment.

Roles & Responsibilities:-

• Develop, optimize, maintain, and streamline software code for hyperspectral image processing, including data preprocessing, calibration, and spectral analysis.
• Work on making the image processing pipeline autonomous through code engineering, automation, and optimization.
• Collaborate with a multidisciplinary team of scientists, engineers, and researchers to provide technical support for their coding-based experiments and projects.
• Ensure the reliability and accuracy of image processing codes and protocols, and perform rigorous testing.
• Documentation: Maintain clear and comprehensive documentation for all developed code, protocols, and processes.
• Continuously optimize and improve the image processing pipeline for speed, accuracy, and efficiency.
• Stay up-to-date with the latest advancements in hyperspectral image processing techniques and contribute to the adoption of new technologies and methodologies.