Power Electronics Engineering jobs in Delhi at Aerogram Private Limited

About the internship

Selected intern's day-to-day responsibilities include:

1. Develop and validate power electronics for high power battery charges
2. Develop and verify digital and analog power electronics control hardware
3. Record specification designs, drawings, bills of materials, and test data
4. Create test procedures to verify hardware designs
5. Develop electric drive system hardware and execute motor control algorithms
6. Develop and test power electronic circuits, digital logic, microcomputer, and analog circuits
7. Ensure products satisfy UL, CSA, IEC, IEEE, EU, and EN requirements
8. Handle power electronics, components, circuits, and modules
9. Evaluate and debug circuit design
10. Build test equipment to qualify electronic modules for production
11. Ensure the prototype of electronic circuits
12. Discuss with research personnel to resolve problems and develop the design
13. Prepare product or system layout and detail drawings and schematics
14. Check engineering test results for application to system developments

Skill(s) required

Algorithms

ARM Microcontroller

Raspberry Pi

Atmel AVR

Analog And Digital Circuits

Circuit Design

GitHub

C++ Programming

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Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 16th Aug'20 and 20th Sep'20

3. are available for duration of 3 months

4. are from Delhi and neighboring cities

5. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Perks

Certificate

Letter of recommendation

Informal dress code

5 days a week

Number of openings

Certificate: Will be provided at the end of the Internship

Aerogram Private Limited

Aerogram is focused on establishing a network of low-cost high-quality air pollution monitoring sensors which helps individuals know what they breathe on real-time-basis. We pride in our infrastructure of data collection, analysis and distribution wherein we gather historic data, alert on real-time data and conduct analysis to predict future readings of identified air pollutants in our environment.