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Quantum Space Node Prototype Engineer/Innovation Fellow
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-02-19
Listing for:
Georgia Green Energy Services
Full Time
position Listed on 2026-02-19
Job specializations:
-
Engineering
Systems Engineer
Job Description & How to Apply Below
Quantum Space Node Prototype Engineer / Innovation Fellow
Intern or Entry‑Level Engineer — Future Founder Track
- Location:
Atlanta, GA (HQ) - Division:
Quantum Infrastructure & Micro-Node Systems - Reports To:
CEO / Quantum Node Program Manager - Compensation:
Competitive salary or stipend + bonus + future profit‑sharing opportunity - Status:
Full‑Time or High‑Intensity Internship (10–14 weeks, option to convert)
This is not a normal internship or engineering job. This is a once‑in‑a‑lifetime chance to help invent the first intelligent micro‑infrastructure system in the country, transforming everyday parking spaces into alive, dynamic, AI‑powered urban nodes.
You will be the hands‑on builder, problem‑solver, prototyper, and designer behind the Quantum Space Node Lite™ (QSN-L) — a futuristic, low‑cost, scalable system that blends hardware, software, sensors, AI, AR, electronics, and visionary design.
Your work will directly shape the commercial product that will be deployed across the entire GGES portfolio and licensed nationwide. You will literally help create a new industry.
What We’re Looking For- Builder
:
Prototype fast, break things, fix them, and improve rapidly. - Creative technologist
:
Merge electronics, code, hardware, sensors, and imagination. - Futurist
:
Think about what the world should look like and build toward that. - Optimizer
:
Reduce cost, simplify components, and make things elegant. - Storyteller
:
Love explaining your creations, demoing them, and inspiring buy‑in. - “Make‑it‑work‑at‑all‑costs” creator
:
Built robots, drones, IoT projects, custom electronics, or anything unusual. - Leader in training
:
Want to eventually lead a team, a division, or an entire product line.
We care more about your capability, curiosity, and drive than we do about a perfect resume.
Role Responsibilities- Build the first functional QSN-L prototype.
- Assemble and integrate:
- camera module
- edge compute board
- LED AR strip
- pressure micro‑strips
- air quality sensors
- microphone array
- QR/NFC engagement panel
- enclosure & wiring
- Optimize cost down to $2,500 total per node.
- Program microcontrollers (ESP
32, Pi Zero). - Train or integrate AI detection models.
- Calibrate sensors and pressure strips.
- Link edge hardware to a cloud dashboard.
- Implement basic vehicle detection, occupancy detection, dwell‑time tracking, LED pattern activation, QR/NFC engagement automation.
- Build → test → refine → repeat.
- Produce prototype demonstrations for leadership.
- Document everything for future installation teams.
- Install early units in GGES property parking lots and partner plazas.
- Run real‑world testing.
- Solve installation challenges creatively.
- Work with leadership to expand AR features, ad interaction layers, AI‑driven safety features, data visualization.
- Bring imaginative ideas to the table daily.
- Present findings in weekly meetings.
- Collaborate with Program Manager, Operations, Sales & Data teams.
- Provide input for marketing, pitch decks, and commercialization materials.
(We expect you to have most, not all — passion matters more.)
- Microcontrollers (ESP
32, Arduino, Pi) - Python + basic AI inference experience
- Electronics and soldering
- 3D printing or fabrication
- LED/lighting control
- Basic networking (LTE, Wi‑Fi, MQTT)
- IoT systems
- CAD or simple mechanical design
- Ability to sketch or visualize new concepts
- Ability to simplify complex challenges
- Strong problem‑solving instincts
- Hungry
- Curious
- Fearless
- Obsessed with innovation
- Thrives with autonomy
- Experience with Tensor Flow Lite
- Experience with Google Coral TPU
- AR/VR knowledge
- Low‑voltage electrical experience
- Environmental sensor integration
- Experience making something “that shouldn’t work, but does”
- By Day 30: QSN‑L prototype fully assembled; basic edge detection functioning; LED panel + AR Ghost Panel working.
- By Day 60:
Field tests completed at 1–3 parking spaces; cloud analytics reporting live; cost optimized under $2,500 per unit. - By Day 90:
Commercial‑ready prototype presented to Executive Leadership;…
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