
About Jinn
Jinn is a Voice AI Tech Company. It helps businesses get better RoI specially by helping sales processes with the use of Voice AI Tech. We are adding a business line which includes an audio device that can reliably capture audio in various environments.
About role:
- This Role in a B2B SaaS startup in AI space led by 2X entrepreneurs from IIT, IIMs. Fast paced with a lot of learning and growth.
- Responsibility: Helping engineer/assemble/bring together an IoT/ hardware device that can accomplish product goals with required constraints. Great high stakes exposure for fresh grads
- Duration: 3-6 months internship || Converts to Full Time based on performance
- Compensation (Stipend): 15-25k per month || Full time 6 - 15 LPA
Ideal Profile: Interested in building a career in IoT/Tech, good communication, good discipline, solid understand of tech (AI)
Skill Sets
Look for someone who:
• Has built at least 1 IoT project end-to-end
• Knows Arduino + one of ESP32 / nRF52
• Has touched audio input (even basic)
• Is comfortable debugging hardware (this is key)
1. Embedded Systems Programming (Must-have)
• C/C++ (Arduino framework or ESP-IDF)
• Working with:
* ESP32 OR
* Seeed Studio XIAO BLE nRF52840 Sense
• Skills:
* GPIO, I2S (for mic input)
* Power modes (deep sleep, wake triggers)
* Memory constraints (huge in audio use cases)
👉 This is the backbone. If they can’t do this well, project stalls.
2. Audio Handling + Signal Basics
• Understanding:
* Sampling rate (16kHz vs 44.1kHz)
* PCM audio buffers
* Latency vs quality trade-offs
• Practical skills:
* Using I2S microphones (INMP441, etc.)
* Basic noise filtering
* Voice Activity Detection (VAD)
👉 Without this, you’ll just get noisy unusable recordings.
3. Power & Hardware Basics (Often underestimated)
• LiPo battery handling
• Charging IC (TP4056 type)
• Power optimization:
* Sleep modes
* Sampling intervals
Many prototypes fail here (battery drains in 1 hour 😅)
4. Connectivity (BLE / WiFi)
• BLE (for XIAO nRF52840):
* Data chunking (BLE MTU limits!)
* Pairing + mobile relay model
• WiFi (for ESP32):
* HTTP / WebSocket streaming
* Retry + buffering
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