Engineering Internships& R&D

Building World-Class Engineers to Solve Energy, EV Battery, Autonomous Systems, Aerospace and Space Engineering Challenges

Gain hands-on experience through engineering research, design, simulation, proof-of-concept development and real-world product initiatives across EV, Energy, AI, Autonomous Systems, Aerospace and Space.

Prerequisites

Goal: Prepare for an Engineering Internship

Common Foundation

  • →An engineering and problem-solving mindset
  • →Programming or technical tools appropriate to your selected track
  • →The ability to break down and debug technical problems
  • →Willingness to research and document engineering decisions

EV / Battery

  • →Basic EV architecture
  • →Lithium-ion battery fundamentals
  • →Sensors and CAN are useful

AI / Software

  • →Python, web or mobile development skills
  • →Basic AI/ML concepts

Space / Aerospace

  • →Basic physics, electronics, mechanical or software fundamentals, as applicable
  • →An interest in systems engineering
  • →Willingness to learn avionics, telemetry, simulation and mission concepts

Specific prerequisites vary by project. A discovery call confirms fit and any bridge learning required.

Book Discovery Call ↗
Tip: Demonstrate a strong interest in your chosen track with consistent effort.

Skills You Will Build

Goal: Become an industry-ready engineer in your chosen track

Common Engineering

  • Systems thinking
  • Requirements
  • Validation
  • Documentation
  • Problem solving

EV / Battery

  • Battery
  • BMS
  • CAN
  • Energy intelligence
  • Cybersecurity

AI / Software

  • Python
  • AI/ML
  • GenAI
  • Agentic AI
  • AI evaluation
  • Secure AI

Cybersecurity

  • Secure SDLC
  • Threat modelling
  • IAM
  • API security
  • SBOM
  • AI security
  • Connected systems

Space / Aerospace

  • Systems engineering
  • Avionics
  • Telemetry
  • Digital twins
  • Mission systems
  • Aerospace cybersecurity
  • Aerospace quality
  • GD&T / inspection concepts

Digital Engineering / 3D

  • Engineering drawing interpretation
  • CAD concepts
  • 2D-to-3D reconstruction
  • 3D visualisation
  • Digital twins
  • Model-Based Engineering

Specific skills depend on project.

Example roles from the EV / Battery tracks

  • EV Battery Diagnostics Engineer
  • EV Software Engineer
  • Battery Management System (BMS) Engineer
  • EV Data & Analytics Engineer
  • Automotive Embedded Systems Engineer
  • EV AI/ML Engineer
Tip: You will work through real engineering workflows and build a strong portfolio.

Common Questions

Who can apply?

Students with an engineering and problem-solving mindset, and working skills in the programming or technical tools their chosen track needs, who want hands-on EV, battery, AI, cybersecurity, autonomous-systems, aerospace or space project experience. A discovery call confirms fit before you start.

What prerequisites are required?

It depends on the track. Everyone needs to be able to break down and debug technical problems and to research and document engineering decisions. EV and battery projects add EV architecture and lithium-ion fundamentals; AI and software projects add Python, web or mobile skills and basic AI/ML concepts; space and aerospace projects add the relevant physics, electronics, mechanical or software fundamentals. See the Prerequisites section above for the full list.

What will I learn?

Depending on the track: EV battery systems and BMS (cell → module → pack, SOC/SOH), automotive cybersecurity, real-world data acquisition and analysis, AI/ML for battery intelligence, or — on the model rocketry track — aerodynamics, propulsion, recovery, avionics and telemetry.

Is this an internship, paid training, or a workshop?

It differs by track. The 12-month Training & Internship Program combines 6 months of training with 6 months of internship and publishes phase-wise fees (online or workspace); a separate merit-based free track exists for qualified students with a refundable security deposit. The model rocketry guide is an independent educational workbook, not an internship or employment offer.

Is a stipend guaranteed?

No stipend is published or guaranteed. The standard pathway publishes phase-wise training fees, and the merit-based student track requires a refundable security deposit rather than paying a stipend — see the Selection Process & Fees page for verified details.

How do I apply?

Use the Apply button above to fill the application form, or email your resume via the Submit Resume button below. A short discovery call typically follows before a track is confirmed.

How can I contact the programme team?

Reach the team through the EV.ENGINEER contact page or WhatsApp above. For programme-lead background, see Sudarshana Karkala's profile.

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Design & Development

GenAI & Agentic AI Projects

EV Help Agent

AI Voice Agent that talks to EV users, understands their problems, and answers relevant questions based on real-time queries.

Research

Proof of Concept

Space & Aerospace Engineering

Space Systems R&D

Spacecraft Health Management Mission 2040

Long-term space engineering and research initiative focused on autonomous spacecraft health management, telemetry intelligence, fault detection, isolation and recovery, digital twins and verified safe recovery.

  • Space Systems
  • Spacecraft Health
  • FDIR
  • Telemetry
  • Digital Twin
  • Autonomy
  • +2

Aerospace Engineering & Research

Aerospace Learning & Research Platform

Practical aerospace engineering and cybersecurity platform covering aircraft, drones, eVTOL, avionics, embedded systems, satellite security, digital engineering and hands-on research.

  • Aerospace
  • Avionics
  • Aircraft
  • Drones & eVTOL
  • Cybersecurity
  • Digital Engineering
  • +2

Aerospace & Defence R&D

Aerospace Quality Intelligence Platform

AQIP

AI-assisted aerospace manufacturing quality intelligence connecting engineering requirements, inspection, FAI, configuration control, manufacturing evidence and supplier quality through a trusted digital thread.

  • Aerospace
  • Defence
  • Quality Intelligence
  • Digital Thread
  • Secure Engineering
  • AI-Assisted
  • +2

EV Workshop

Miscellaneous

Ready to Take the Next Step?