THE MISSION

As a Cal/Val Engineer in the Active Fire (AF) product team at OroraTech, you will play a critical role in ensuring the scientific validity and operational reliability of our global wildfire detection products. Your primary responsibility will be to monitor, assess, and improve the performance of OroraTech’s fire detection pipeline through quantitative validation efforts. This includes the design and implementation of validation frameworks, participation in field campaigns, and collaboration with internal and external experts.
Your work directly contributes to the credibility and continuous improvement of a mission-critical product used by global wildfire management agencies, commercial partners, and scientific institutions. You will lead and contribute to validation campaigns and integrate ground-truth observations—including field data—to drive meaningful comparisons with other satellites and reference datasets.

REQUIRED QUALIFICATIONS:

• Advanced degree in Remote Sensing, Physics, Data Science, or a related field.
• 2+ years of experience in validation of remote sensing data products.
• Strong analytical and problem-solving skills.
• Experience collaborating with technical teams, such as Data Science, Data Engineering, and Software Engineering.
• Strong communication skills, with the ability to clearly present complex technical information to high-level executives
• Willingness and ability to travel internationally for field validation campaigns.

PREFERRED QUALIFICATIONS

• >4y industry experience or Ph.D. in a relevant field + 2y industry experience
• Experience with active fire detection algorithms or related EO data processing (thermal/NIR).
• Prior involvement in validation campaigns or intercomparison studies.
• Familiarity with key wildfire monitoring datasets (e.g., FIRMS, NIFS, GEOS-FP).
• Experience comparing performance across EO datasets, including uncertainty analysis and detection capability studies.
• Publication record or conference presentations on calibration/validation topics.