Fire Detection Validation & Performance Monitoring

• Develop and maintain quantitative validation frameworks for fire detection products across multiple satellite sensors.

• Measure, track, and analyze key performance indicators (KPIs) such as detection accuracy, false positive rate, and latency.

• Lead or support the design and analysis of validation campaigns, with a strong focus on gathering and integrating ground truth data from fieldwork and user feedback.

• Identify, secure, and integrate authoritative validation datasets from diverse sources (e.g., MODIS, VIIRS, regional fire agencies).

• Drive intercomparison studies with other active fire satellite products.
  
  

Data Quality Assurance & Algorithm Support

• Work closely with algorithm developers to refine fire detection methods using insights from ground-truth analysis

• Support ongoing quality assurance processes for the Active Fire product, ensuring outputs meet OroraTech’s internal standards and customer expectations.

• Contribute to the development and testing of validation metrics and methods, supporting both operational monitoring and long-term product evolution.
  
  

Cross-functional Collaboration & Communication

• Work closely with the Data Science, Software Engineering, and Product teams to feed back insights and validation results into product development.

• Represent OroraTech at relevant conferences and scientific forums.

• Assist in generating comprehensive performance reports and support customer-facing engagements on data quality topics.

• Maintain clear documentation and reproducibility of validation processes and tools.

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.

• Virtual shares for all permanent employees (VSOP=Virtual Share Option Program)
• Company pension scheme (bAV = Betriebliche Altersversorgung) 
• Company accident insurance for all employees (insurance for accidents during work and leisure time around the world 24/7)
• Flexible working hours and home office option (including working from other countries)
• Corporate health benefit via Wellpass Subscription
• Free Deutschland ticket
• Discount on lunch meals
• Company bike via JobRad
• Modern office in Neue Balan with a wonderful pool and campus area

At OroraTech you can expect a down to earth, yet high-caliber work environment. You will become an integral part of the OroraTech satellite development - a talented, international, open-minded team that is highly motivated to create impact. OroraTech gives you the opportunity to grow on a professional and personal level. Benefits include:

• Be part of the solution to climate change.
• Flexible home office policy (3 days/week, more negotiable)
• Attractive office and modern labs in Munich (obviously including free snacks/drinks/coffee).
• Flexible working time. Take care of your family? Late sleeper? Early riser? We can make all of that happen.
• A responsible position with individual autonomy and design freedom.