Product QA Engineer - SAR & EO Image Validation

GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED is hiring a QA/QC Engineer to own structured testing of SAR and EO imagery, AI/ML outputs and related applications. You will perform validation, regression testing and QA automation, operating independently from development teams to ensure release readiness.

You will evaluate SAR/EO imagery quality, validate model results, write reusable test cases, and contribute to rapid release cycles in a space-tech startup environment.

Qualifications

• Bachelor’s or Master’s degree in Remote Sensing, Geoinformatics, GIS, Physics, EE, CS or related field.
• 2–3 years of QA/testing experience in image or data-heavy software products.
• Experience with manual, functional, regression and end-to-end testing.

Responsibilities

• Inspect SAR/EO imagery for distortions and quality issues.
• Validate AI/ML model outputs against benchmarks.
• Perform regression validation after model or pipeline updates.
• Develop structured test cases, checklists and QA workflows.
• Build Python-based scripts to automate repetitive QA tasks.

Skills

Manual testing

Functional testing

Regression testing

End-to-end testing

Python scripting

Test automation

Data validation

Education

Bachelor’s/Master’s degree in Remote Sensing

Tools

QGIS

SNAP

ENVI

Job description

GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED | Full time

GalaxEye is a Space-Tech startup pioneering the world's first Multi-Sensor Earth Observation Satellite, integrating SAR (Synthetic Aperture Radar) and MSI (Multi-Spectral Imaging) on a single platform. As we move towards building a constellation of indigenous satellites, we are also developing advanced data platforms that fuse satellite data, AI analytics, and geospatial intelligence.

About the role

We are seeking a QA/QC Engineer responsiblefor the structured testing and validation of SAR and EO imagery products, AI/MLmodel outputs, and the associated image analysis applications.

This is a testing-first role with end-to-endownership of product QA, responsible for:

• Validation of SAR/EO imagery and AI/ML modeloutputs
• End-to-end application and workflow testing
• Smoke, functional, exploratory and regressiontesting across releases
• Structured defect tracking and verification
• QA automation, reporting and releasevalidation

The role is expected to operate independentlyfrom development and processing teams, providing an objective assessment ofproduct quality and release readiness.

Key Responsibilities

• Inspect SAR and EO imagery for distortions,inconsistencies and other quality issues.
• Validate model outputs including detections,classifications, annotations and overlays against defined benchmarks.
• Identify false positives, missed detections,localization errors and recurring model failure patterns.
• Perform regression validation when models,processing pipelines or module configurations are changed.Provide structured QA inputs and independentassessment of release readiness prior to internal release or customer delivery.

B. End-to-End Product & Release Testing

• Test complete image analysis workflows fromdata ingestion through processing, analysis and visualization.
• Validate application functionality, UIworkflows, overlays, annotations, layers and analysis outputs.
• Perform functional, smoke, exploratory andregression testing across standalone and server-based product versions.
• Maintain reusable smoke and regression testsuites to support frequent product releases.
• Verify fixes and ensure changes do notintroduce regressions elsewhere in the system.

C. Test Planning and Automation

• Develop and continuously improve structuredtest cases, regression suites, checklists and QA workflows covering imagery,model outputs and application functionality.
• Identify gaps in test coverage, tooling andprocesses and implement improvements to increase QA efficiency and coverage.
• Identify repetitive QA activities suitable forautomation and build Python-based scripts and utilities where feasible.
• Maintain reusable test templates andframeworks to support rapid release cycles.

D. Defect and Issue Management

• Identify, document and classify defects withclear reproduction steps, evidence, severity and priority.
• Track defects through resolution, retestingand closure.
• Maintain structured visibility of issues byproduct version, module, defect type, status and customer/deployment location.
• Track recurring, unresolved and deferredissues across releases and highlight systemic quality concerns.

E. QA Reporting & Documentation

• Maintain structured reports for feature,smoke, regression and release testing.
• Maintain test cases, execution records,checklists, defect logs and supporting evidence.
• Establish reusable reporting templates tosupport rapid release cycles and consistent QA practices.
• Generate summaries of open issues, recurringdefects, regression status and release readiness.
• Ensure QA results are reproducible, traceableand audit-ready, including support for customer-facing quality documentation.

Requirements

Required Qualifications:

• Bachelor’s/Master’s degree in Remote Sensing,Geoinformatics, GIS, Physics, Electrical Engineering, Computer Science or arelated field.
• 2–3 years of experience in QA/testing roles,preferably involving image, data-heavy or software products.
• Experience with manual, functional, regressionand end-to-end testing.
• Experience or familiarity with SAR and/orElectro-Optical imagery analysis.
• Familiarity with image analysis/GIS tools suchas QGIS, SNAP, ENVI or equivalent.
• Basic Python scripting skills for testautomation and data validation.
• Strong analytical thinking, attention todetail and systematic problem-solving ability.

Preferred:

• Experience testing AI/ML-based image analysisor computer vision outputs.
• Exposure to model accuracy validation,benchmarking or dataset QA.
• Experience building automated QA or regressiontesting utilities.
• Familiarity with version-controlled releasetesting.
• Experience testing standalone and server-basedapplications.
• Experience in startup or fast-iterationproduct environments.
• Familiarity with geospatial, satelliteimagery, remote sensing or defence applications.

• Hands-on experience working with SAR, EOlimagery and AI-driven image analysis.
• Opportunity to own and build QA processes,test frameworks and automation for a growing product.
• Exposure to end-to-end product testing, rapidrelease cycles, customer deployments and audit-ready QA.
• Work at the intersection of software,geospatial technology, computer vision and space-tech.
• High ownership and the opportunity to influenceproduct quality directlyand release readiness.