Image Processing Scientist

Department

Image Science

Job posted on

Sep 26, 2025

Employment type

Full-Time

**Role**: Radiometric Scientist

**Employment Type**: Full Time

**Educational Qualification**: PhD or Master's degree in Remote Sensing, Geophysics, Physics, Atmospheric Science, or a closely related field.

**Work Experience**: 3-5 yrs

**Role Description**:
**Responsibilities & Duties**:
- Radiometric Calibration: Develop and implement algorithms for radiometric calibration of hyperspectral satellite data.- Data Quality Assurance: Conduct rigorous quality control and quality assurance (QA/QC) of radiometric data, ensuring compliance with industry standards and scientific requirements.-
- Research & Innovation: Explore and contribute to novel techniques for radiometric calibration, error modeling, and data correction in the context of hyperspectral data.- Collaboration: Work closely with the geometric team to integrate radiometric corrections with geometric processing workflows for enhanced satellite data products.- Documentation & Reporting: Prepare comprehensive reports, technical documentation, and scientific publications to communicate research findings, methodologies, and best practices.- Stakeholder Engagement: Collaborate with internal and external stakeholders, including mission teams, academic researchers, and industry experts, to advance radiometric research and improve data processing pipelines.

**Required Qualification**:
- Education: PhD or Master's degree in Remote Sensing, Geophysics, Physics, Atmospheric Science, or a closely related field.- Experience: At least 3-5 years of experience in radiometric calibration, atmospheric correction, and processing of satellite-based hyperspectral data.- Technical Expertise:
- Strong knowledge of radiometric correction techniques for remote sensing data.- Proficiency in optical / hyperspectral image processing and data correction methodologies (e.g., flat-fielding, gain/offset corrections, vicarious calibration).- Familiarity with satellite-based hyperspectral sensor technologies and their calibration needs.- Proficiency in programming languages (e.g., Python, MATLAB) and tools commonly used in remote sensing data analysis.- Analytical Skills: Ability to analyze complex radiometric data and troubleshoot issues with calibration and correction methods.- Communication Skills: Strong written and verbal communication skills to collaborate with cross-functional teams and document research.

**Desired Skills**:
- Experience working with large-scale satellite data sets and data processing pipelines.- Familiarity with remote sensing data standards, such as ARD (Analysis Ready Data) and Radiometric Calibration Network (RadCalNet).- Knowledge of machine learning techniques for data processing and anomaly detection is a plus.- Prior experience in publishing research findings in peer-reviewed journals or conferences is desirable.

A strong desire to work in an unstructured, high-growth, fast-paced start-up environment

**Benefits**:

- Health insurance coverage- Unlimited leaves & flexible working hours- Role-based remote work and work-from-home benefit- Relocation assistance- Professional Mental Wellness services- Creche facility for primary caregivers (limited to India)- Employee Stock Options for all hires

**About Pixxel**

Pixxel is a space data company and spacecraft manufacturer redefining Earth observation with hyperspectral imaging. The company’s first three commercial hyperspectral satellites—Fireflies—deliver imagery at 5-meter resolution and 135+ spectral bands, providing 50x richer detail than traditional Earth observation systems and unlocking insights across agriculture, climate, energy, environment, and more.

Once fully deployed, Pixxel’s constellation of 18-24 satellites will capture imagery across up to 250 bands in VNIR and SWIR ranges, with a 40 km swath and daily global revisit capability. Pixxel’s most unique strength is its full-stack approach, integrating every layer of the value chain from satellite hardware and manufacturing to AI-powered analytics.

Pixxel’s satellite constellation is complemented by Aurora, its in-house Earth Observation Studio that simplifies satellite imagery analysis and democratises remote sensing for all. Designed to make hyperspectral data more accessible, Aurora by Pixxel combines high-frequency imagery with AI-powered tools to generate actionable insights, even for users without technical backgrounds. The third pillar of Pixxel’s ecosystem is its in-house satellite manufacturing capability. Beyond building its own spacecraft, Pixxel also provides satellite systems and subsystems to other organisations. This dual capacity sets it apart in a sector where most companies focus on either payload design or data operations, but not both.

Pixxel’s team is young but deeply mission-aligned, with a culture rooted in curiosity, speed, and long-term thinking. As the company grows its constellation and expands Aurora, the focus remains on mak