Job Description

:

We are seeking a passionate and motivated Embedded Intern to join our

R&D team developing smart 3D printing technologies. The role involves

hands-on work with embedded hardware and AI/ML integration on

embedded hardware platforms. You'll contribute to developing

intelligent control, monitoring, and diagnostic systems for 3D

printers--combining software, hardware, and AI to enhance

performance and reliability.

Key Responsibilities:

? Develop and test code in C++ and Python.

? Implement algorithms for defect detection, surface analysis, and

real-time monitoring using ML or similar libraries.

? Assist in designing and deploying machine learning models for flaw

detection and process optimization.

? Interface hardware peripherals such as stepper drivers, temperature

sensors, thermistors, limit switches, proximity sensors, cameras, and

other modules with Raspberry Pi or microcontrollers.

? Work with communication protocols like UART, I2C, SPI, and CAN for

sensor and module integration.

? Calibrate and control 3D printer components such as motors, heaters,

fans, and endstops through embedded code.

? Analyze system data to improve accuracy, stability, and performance

of the printing process.

? Document experimental results, algorithms, and hardware

connections.

? Collaborate with cross-functional teams to integrate AI and hardware

control modules into functional prototypes.

Required Skills and Qualifications:

? Strong programming skills in C++ and Python.

? Knowledge of embedded systems programming and microcontroller

fundamentals.

? Familiarity with computer vision and image/Audio/Video

processing.

? Understanding of machine learning frameworks such as TensorFlow.

? Experience working with Raspberry Pi, Arduino, or ESP32.

? Basic understanding of electronics and circuit design (sensors,

actuators, power systems).

? Familiarity with 3D printer hardware, including stepper motors,

drivers, thermistors, proximity sensors, heater cartridges, MOSFETs,

and power electronics.

? Understanding of communication protocols (UART, SPI, I2C, CAN).

? Strong analytical and troubleshooting skills.

? Ability to document processes and communicate technical results

clearly.

Preferred Qualifications (Good to Have):

? Experience or Good Knowledge of 3D printing / CNC systems.

? Exposure to real-time data logging and process monitoring.

? Knowledge of PID tuning, motion control, or G-code parsing.

? Experience with sensor calibration or signal conditioning.

? Interest in integrating AI on embedded hardware (Edge AI) for

automation.

Job Types: Full-time, Fresher, Internship

Pay: ?8,000.00 - ?10,000.00 per month

Education:

* Bachelor's (Preferred)