Applications Open · 2025 Cohort
Real projects.
Actual air time.
Apply for Hovernest internships in aerospace, embedded software, autonomy, computer vision, and product engineering. Minimum one month, full-time preferred — open to enrolled undergraduates and graduates in Engineering, CS, Robotics, or related disciplines.
Program Details
Scope of Work
Program Overview
- Duration: 4–8 Weeks
- Mode: Hybrid / Remote
- Platform: On-site Lab + Google Meet
- Timings: Core hours 10:00 AM – 6:00 PM IST
- Language: English
Highlights
- Hands-on hardware & flight-test experience on real deployment-grade engineering
- Direct mentorship from founders & senior engineers, with live project reviews
- Cross-domain exposure across firmware, AI, and airframe design
- End-to-end system exposure — concept to flight
- Small cohorts (3–5 per track) with a performance-based stipend
- Open to Engineering & CS students, and working professionals
- Career development & pre-placement pathway
Internship Tracks
Five tracks. One production stack.
Structured enough to develop fast — open enough to make a real contribution. Every intern at Hovernest touches work that gets deployed.
Design, prototype, and flight-test airframe and propulsion systems across the Hovernest VTOL and fixed-wing platforms.
Curriculum
A structured, three-module pathway.
Live sessions, intermediate tasks, and a real-time problem statement inspired by active Hovernest deployments.
Module #1
Theoretical
Module #2
CAD & Airframe Design
Module #3
Simulation & Analysis
Why Intern Here
No dummy tasks. No sandbox environments.
Six concrete things that differentiate a Hovernest internship — interns contribute to active deployments with flight hours logged on real hardware.
Real Projects. Actual Air Time.
Real drone hardware. Real AI models. Real missions. Not simulations — work that ships into production systems and logs actual flight hours.
Founder & Engineer Mentorship
Direct working relationships with founders and senior engineers. Not a corporate buddy — a real technical mentor.
Cross-Domain Exposure
Cross-domain exposure across machine learning pipelines, embedded firmware, and aeronautical engineering — in a single programme.
Pre-Placement Offer Pathway
High-performing interns are considered for full-time conversion before the programme ends — no separate hiring round.
Certificate + Letter of Recommendation
Personalised letter of recommendation and a verified completion certificate issued on programme close.
IP Credit on Contributions
Significant contributions are acknowledged in internal project documentation and, where applicable, patent filings.
Past Cohorts
Work that actually flew.
“I went from CAD concepts to holding a physical prototype I had personally optimised. The frame redesign reduced vehicle weight by 12% — and it actually flew.”
Arjun K
TR-01 · Drone Engineering
Mechanical Engineering · IIT Madras
−12% airframe weight reduction
“I built and deployed a crop disease detection model that runs inference on the drone itself. 89% accuracy in real field conditions in eight weeks — that was not something I expected.”
Priya S
TR-02 · Computer Vision
AI / ML Engineering · BITS Pilani
89% field accuracy on edge device
“Contributing to NeuroFC firmware was the most demanding work I have done. We improved sensor response latency and it became part of the production build.”
Rahul M
TR-03 · NeuroFC Firmware
Embedded Systems · NIT Trichy
Contribution merged into production
Intern with Hovernest
Building systems for the physical world? Apply.
Strong domain fundamentals with demonstrable hands-on project experience. Portfolio or GitHub preferred. We respond within five business days.