Product QA Engineer - SAR & EO Image Validation

About GalaxEye

GalaxEye is a Space-Tech startup pioneering the world's first OptoSAR, 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 responsible

for the structured testing and validation of SAR and EO imagery products, AI/ML

model outputs, and the associated image analysis applications.

This is a testing-first role with end-to-end

ownership of product QA, responsible for:

• Validation of SAR/EO imagery and AI/ML model

  outputs

• End-to-end application and workflow testing
• Smoke, functional, exploratory and regression

  testing across releases

• Structured defect tracking and verification
• QA automation, reporting and release

  validation

• Maintaining repeatable, audit-ready QA

  processes

The role is expected to operate independently

from development and processing teams, providing an objective assessment of

product quality and release readiness.

Key Responsibilities

A. Image & Model Output Validation

• 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 independent

assessment of release readiness prior to internal release or customer delivery.

B. End-to-End Product & Release Testing

• Test complete image analysis workflows from

data ingestion through processing, analysis and visualization.

• Validate application functionality, UI

workflows, overlays, annotations, layers and analysis outputs.

• Perform functional, smoke, exploratory and

regression testing across standalone and server-based product versions.

• Maintain reusable smoke and regression test

suites to support frequent product releases.

• Verify fixes and ensure changes do not

introduce regressions elsewhere in the system.

C. Test Planning and Automation

• Develop and continuously improve structured

test cases, regression suites, checklists and QA workflows covering imagery,

model outputs and application functionality.

• Identify gaps in test coverage, tooling and

processes and implement improvements to increase QA efficiency and coverage.

• Identify repetitive QA activities suitable for

automation and build Python-based scripts and utilities where feasible.

• Maintain reusable test templates and

frameworks to support rapid release cycles.

D. Defect and Issue Management

• Identify, document and classify defects with

clear reproduction steps, evidence, severity and priority.

• Track defects through resolution, retesting

and closure.

• Maintain structured visibility of issues by

product version, module, defect type, status and customer/deployment location.

• Track recurring, unresolved and deferred

issues 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 to

support rapid release cycles and consistent QA practices.

• Generate summaries of open issues, recurring

defects, regression status and release readiness.

• Ensure QA results are reproducible, traceable

and 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 a

related field.

• 2-3 years of experience in QA/testing roles,

preferably involving image, data-heavy or software products.

• Experience with manual, functional, regression

and end-to-end testing.

• Experience or familiarity with SAR and/or

Electro-Optical imagery analysis.

• Familiarity with image analysis/GIS tools such

as QGIS, SNAP, ENVI or equivalent.

• Basic Python scripting skills for test

automation and data validation.

• Strong documentation, reporting and

defect-tracking skills.

• Strong analytical thinking, attention to

detail and systematic problem-solving ability.

Preferred:

• Experience testing AI/ML-based image analysis

or computer vision outputs.

• Exposure to model accuracy validation,

benchmarking or dataset QA.

• Experience building automated QA or regression

testing utilities.

• Familiarity with version-controlled release

testing.

• Experience testing standalone and server-based

applications.

• Experience supporting customer deployments,

UAT, acceptance testing or audit processes.

• Experience in startup or fast-iteration

product environments.

• Familiarity with geospatial, satellite

imagery, remote sensing or defence applications.

Benefits

• Hands-on experience working with SAR, EOl

  imagery 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, rapid

  release 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 influence

  product quality directly and release readiness.