Location: Chennai, India
Duration: 3-6 months, open to hire for full time
About Us:
Smartan Fit is at the forefront of fitness technology, blending advanced AI and cutting-edge hardware to create innovative solutions for gym management and personalized fitness experiences. Join our team as we redefine the future of fitness with intelligent, user-centric tools and technologies.
Role Overview:
We are looking for a passionate and innovative Embedded Engineer Intern to join our hardware development team. This role offers a unique opportunity to work on edge devices and embedded systems, contributing to the development of Smartan Fit’s next-generation fitness technology products.
Responsibilities:
- Assist in the design, development, and testing of embedded systems for fitness devices.
- Work with edge devices like NVIDIA Jetson, Raspberry Pi, or similar platforms to implement AI/ML models.
- Develop and optimize firmware for microcontrollers and edge devices.
- Debug hardware and software issues and perform performance tuning.
- Collaborate with cross-functional teams to integrate hardware and software solutions.
- Conduct research to identify innovative approaches to solve embedded systems challenges.
- Document development processes, including code, configurations, and test results.
Requirements:
- Currently pursuing or recently completed a degree in Electronics, Computer Engineering, Embedded Systems, or a related field.
- Hands-on experience with programming languages such as C, C++, or Python.
- Familiarity with edge computing platforms like NVIDIA Jetson, Raspberry Pi, or Arduino.
- Understanding of embedded systems concepts, including RTOS, GPIO, I2C, and SPI protocols.
- Experience with hardware debugging tools like logic analyzers and oscilloscopes.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced environment.
Preferred Qualifications:
- Knowledge of AI/ML model deployment on edge devices.
- Familiarity with TensorFlow Lite, ONNX, or similar frameworks for edge AI.
- Experience with low-power IoT devices and wireless communication protocols (e.g., Bluetooth, Wi-Fi).
- Understanding of fitness equipment mechanics or a strong interest in fitness technology.
What We Offer:
- Hands-on experience with cutting-edge embedded systems and edge AI technologies.
- Mentorship from industry professionals specializing in hardware and embedded systems.
- Opportunity to work on impactful projects in the fitness technology domain.
- A collaborative, innovative team culture.
- A foundation for a rewarding career in embedded systems and edge computing.
How to Apply:
Submit your resume highlighting your interest in the role and relevant experience to [email protected]. Applications will be reviewed on a rolling basis.