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Embedded Systems Intern (IoT + Audio devices)

Jinn AI Verified employer

Actively hiring · Posted 25d ago · JEV26102D2FD2E1FF

Salary₹2,40,000 – ₹3,00,000 per year
Experience0–2 yrs
LocationPune, Maharashtra
Work modeOffice · Internship
Openings1

Job description

About JinnJinn 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 gradsDuration: 3-6 months internship || Converts to Full Time based on performance Compensation (Stipend): 20-25k per month || Full time 4.5lpa - 6LPAIdeal Profile: Interested in building a career in IoT/Tech, good communication, good discipline, solid understand of tech (AI)Skill SetsLook 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 intervalsMany 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 + bufferingTrade

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