AV, EV & Battery Internships
Building World-Class Engineers to Solve Energy and EV Battery Challenges
Gain hands-on experience in EV Battery Diagnostics, Autonomous System integration, and more. Explore ongoing initiatives across Research, Proof of Concepts, and structured Design & Development.
Prerequisites
Goal: Prepare for EV Engineering Internship
- →Required Basics: Python, Flutter / React Native, iOS/Android, plus basic AI/ML concepts, circuits, sensors, and signals.
- →What You Should Be Able To Do: Break down technical problems and debug effectively.
- →Focus Areas: Basic knowledge of EV architecture and lithium-ion batteries.
- →Discovery & Preparation: Schedule a discovery call to understand the internship, expectations, and opportunities. A short bridge course may be recommended before starting if needed.
Skills You Will Learn After Internship
Goal: Become industry-ready EV Engineer
- →Core Skills: EV Battery Systems & BMS (Cell → Module → Pack, SOC/SOH), Automotive Cybersecurity.
- →What You Will Be Able To Do: Real-World Data Acquisition (Sensors, ESP32) and EV Data Analysis using Python & cloud tools.
- →Outcome: Implement AI/ML for Battery Intelligence (health prediction, anomaly detection, risk analysis).
- →Job Roles:
- ◆EV Battery Diagnostics Engineer
- ◆EV Software Engineer
- ◆Battery Management System (BMS) Engineer
- ◆EV Data & Analytics Engineer
- ◆Automotive Embedded Systems Engineer
- ◆EV AI/ML Engineer
Common Questions
Who can apply?
Students with basic programming (Python, Flutter or React Native), circuits, sensors and AI/ML fundamentals who want hands-on EV, battery, cybersecurity, autonomous-systems or aerospace project experience. A discovery call confirms fit before you start.
What prerequisites are required?
Basic EV architecture and lithium-ion battery knowledge, working programming skills, and the ability to break down and debug technical problems. 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.
Design & Development
EV Battery Intelligence Platform
Risk analysis and advanced thermal runaway prevention implementations.
EV Battery Pack Design
Comprehensive handbook mapping electrochemistry, structural CTP frames, BMS algorithms, and cloud telemetry.
Battery Pack Aadhaar System
Unified identity protocols for battery life tracking and health.
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
Autonomous Air Taxi (eVTOL)
End-to-end design lifecycle for urban air mobility.
Autonomous Airport Cargo EV
Duty-cycle analysis and integrations for closed-loop environments.
Space & Aerospace Engineering
IN-SPACe Model Rocketry
End-to-end mission architecture, telemetry systems, avionics, recovery mechanisms, and systems engineering for national-level student rocketry competitions.