About GalaxEye
The short version
We're starting to
explore what our satellite and geospatial data looks like when you can step inside it — terrain, imagery, and
analytics rendered in AR/VR instead of on a flat screen. This is a new effort
for us, and you'd be one of the first people building it.
What makes this different
Most AR/VR
internships have you building a game, a demo, or a marketing filter. Here the
content is real geospatial data —
satellite imagery, terrain, and analytics from actual Earth-observation
systems. That changes the interesting problems:
- The "world" isn't
hand-modelled art — it's real terrain and imagery that has to be loaded,
placed, and made explorable in 3D space.
- You're visualizing data that
means something, for people who need to understand it, not just look at it.
- Immersive GIS is largely
unexplored territory — there isn't a tutorial for most of what we'll try,
so a lot of the work is figuring out what even works.
- It's early and greenfield:
fewer guardrails, more room to shape the direction, and your prototypes
genuinely inform where this goes.
If "there's no
tutorial for this yet" sounds exciting rather than scary, you'll fit well
here.
What you'll actually do
- Build AR/VR scenes and
interactions under direction — take a defined feature or idea and make it
real in a game engine.
- Prototype ways to visualize
and interact with geospatial data in 3D: terrain, map/imagery layers,
points of interest, and analytics.
- Integrate 3D assets, imagery,
and data into immersive scenes and get them rendering and behaving
correctly.
- Get hands-on with a headset
or AR framework — deploy to a device, test it, and iterate on what
actually feels right in-headset.
- Debug across the scene — from
a broken interaction to a mis-placed object — forming a hypothesis and
narrowing it down rather than guessing.
- Share what you learn: what
worked, what didn't, and what's worth pursuing further.
What you'll learn here
Because an
internship should teach you something real:
- How to build immersive
experiences on top of real, meaningful data — not toy content.
- Spatial and 3D engineering
the practical way: transforms, coordinate spaces, rendering, and what
makes an immersive interaction comfortable vs. nauseating.
- How geospatial /
Earth-observation data actually works, and the challenges of representing
it in 3D.
- How to work inside a real
engineering team and a real codebase — version control, code review, and
shipping features under direction.
- What frontier immersive-tech
work looks like at a space-tech company.
Requirements
What we're looking for
This is a fresher role, so we're screening for potential and what you've
built, not years on the clock:
- Some
hands-on AR/VR exposure — a class project, game jam, hackathon entry, or personal demo. Portfolio
over grades: we'd love to actually try what you've made, ideally on a headset.
- Comfort in a
game engine —
ideally Unity (C#); Unreal (C++) is welcome too.
- Solid 3D
math intuition —
transforms, coordinate spaces, rotations/quaternions, ray casting. You can
reason about where things are in space.
- Fundamentals
over framework knowledge — you understand the underlying ideas, so a new SDK or
engine is something you can pick up, not a wall.
- A fast,
self-driven learner — you can figure things out from docs, samples, and first principles, and
you don't stall waiting to be told every step.
- Systematic
debugging under uncertainty — when something breaks, you form a hypothesis and
narrow it down instead of trying random fixes.
- You think
spatially — in
3D and interactions, not just flat screens and buttons.
- Shipped
something real, end to end — even a small demo you can put on a headset and hand
to someone.
- Curiosity
about immersive tech and geospatial data — you're genuinely interested in where this is
heading.
Bonus (nice to have)
Any of these are a
plus — we don't expect them from an intern:
- Familiarity with an AR/VR SDK
or framework: Meta Quest SDK, OpenXR, ARKit/ARCore, or WebXR.
- Awareness of performance and
comfort constraints — frame rate, latency, motion sickness — and why they
matter in immersive apps.
- Any exposure to maps, GIS, or
geospatial data (Cesium, Mapbox, Leaflet, QGIS, or similar).
- Basic 3D asset / content
skills (Blender, shaders, or working with imported models).
- Interest in or exposure to
satellite imagery or remote sensing.
- A shipped or published demo
(itch.io, an app store, a game jam page, a GitHub repo we can look at).
Skills Required
- Hands-on AR/VR exposure through a class project, game jam, hackathon entry, or personal demo
- Comfort using a game engine, ideally Unity with C#; Unreal with C++ is also welcome
- Solid 3D mathematics intuition, including transforms, coordinate spaces, rotations, quaternions, and ray casting
- Understanding of underlying AR/VR and 3D concepts sufficient to learn new SDKs or engines
- Fast, self-driven learning using documentation, samples, and first principles
- Systematic debugging and hypothesis-driven problem solving
- Spatial thinking focused on 3D environments and interactions
- Evidence of shipping something real end to end, such as a headset demo
- Curiosity about immersive technology and geospatial data
- Familiarity with an AR/VR SDK or framework such as Meta Quest SDK, OpenXR, ARKit, ARCore, or WebXR
- Awareness of immersive application performance and comfort constraints, including frame rate, latency, and motion sickness
- Exposure to maps, GIS, or geospatial data, including Cesium, Mapbox, Leaflet, or QGIS
- Basic 3D asset or content skills, including Blender, shaders, or imported models
- Interest in or exposure to satellite imagery or remote sensing
- A shipped or published demo available through itch.io, an app store, a game jam page, or GitHub
What We Do
GalaxEye is an Indian space-tech startup developing advanced Earth-observation technologies. Its flagship Drishti Mission uses a multisensor imaging satellite combining optical and Synthetic Aperture Radar data to produce high-resolution imagery, including through cloud cover and at night. The company applies artificial intelligence, computer vision, and geospatial analysis to support governments, defense organizations, and industries with actionable insights.









