Senior Embedded System Engineer XpertDirect

3.0 - 7.0 years

0 Lacs

karnataka

On-site

As a Firmware Engineer specializing in TinyML, you will be responsible for developing intelligent low-power devices that operate efficiently without the need for internet connectivity. Your primary focus will be on bringing machine learning capabilities to the edge by deploying TinyML models on microcontrollers and ultra-efficient hardware. You will have the opportunity to work on cutting-edge products that integrate embedded systems, AI, and sensor fusion to create smart, secure, and responsive edge devices for various industries such as health tech, industrial IoT, and consumer electronics. Your responsibilities will include developing, optimizing, and deploying TinyML models, writing clean and efficient embedded C/C++ firmware for microcontrollers like ARM Cortex-M, integrating real-time sensor data for low-latency inference pipelines, collaborating with data scientists to compress and port models, and ensuring performance, memory, and energy efficiency. Additionally, you will conduct testing and debugging on physical devices to ensure the reliability and functionality of the firmware. To excel in this role, you should have a strong background in embedded systems and C/C++, hands-on experience with TinyML frameworks such as TFLite Micro and Edge Impulse, familiarity with ARM Cortex-M microcontrollers or similar hardware, understanding of ML model optimization techniques like quantization and pruning, proficiency in sensor interfacing, low-level drivers, and debugging tools. Experience with audio or motion recognition and low-power hardware design would be considered a bonus. If you are passionate about pushing the boundaries of intelligent edge devices and have the skills and experience required to thrive in a dynamic and innovative environment, we encourage you to apply for this exciting opportunity as a Firmware Engineer specializing in TinyML systems.,

Posted 17 hours ago

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AI & Electronic Controls Intern Softform.in

0.0 years

0 Lacs

Nagpur, Maharashtra, India

On-site

Position: AI & Electronics Controls Intern (In-Person, Full time) Location: Nagpur, Maharashtra Type: Internship (36 months, On-site) Start Date: Immediate Stipend: ?5,000/month Company: Softform.in Engineering Consulting & Technology Solutions About the Role: Softform.in is looking for a hands-on, technically curious AI & Electronics Controls Intern to support the development of advanced hardware systems. Youll contribute to TerraSuit a wearable microclimate system as well as work on real-time AI visual processing projects involving object detection, tracking, and user assistance. Youll be working on embedded platforms like Arduino, ESP32, and Raspberry Pi, combining traditional electronics with AI integration. Key Responsibilities: Build and test embedded systems using Arduino, ESP32, and Raspberry Pi Program sensors, actuators, and control logic (PWM, feedback loops, etc.) Integrate visual AI modules (e.g., object detection, gesture recognition) using OpenCV, TensorFlow Lite, or Edge Impulse Work on camera integration for real-time perception and user-assist features Prototype and debug low-power systems and handle battery/power management Assist with PCB prototyping, wiring, soldering, and system testing Collaborate with software, mechanical, and AI teams to ensure system-level integration Requirements: Based in Nagpur or willing to relocate Comfortable with breadboards, soldering, multimeter, and basic diagnostic tools Pursuing or recently completed a degree in Electronics, Mechatronics, Instrumentation, Electrical, or a related field Familiarity with Arduino, ESP32, Raspberry Pi, and basic C/C++ or Python Comfortable working with sensors, actuators, and communication protocols (I2C, SPI, UART) Exposure to basic computer vision tools like OpenCV, MediaPipe, or Edge Impulse Working knowledge of AI tools (ChatGPT, Colab, Notion AI, etc.) Preferred (Bonus): Experience deploying AI models to ESP32-CAM or Raspberry Pi PCB design experience (KiCad, EasyEDA, etc.) Familiarity with wearable devices, IoT systems, or embedded Linux Experience with MQTT or HTTP-based device communication What Youll Gain: Experience building real-world AI-integrated hardware systems Mentorship from experienced engineers and exposure to full product development cycles Internship certificate, strong recommendation, and possible full-time offer How to Apply: Apply on Linkedin or send your resume to [HIDDEN TEXT] with subject AI Intern application. "Application AI & Electronics Controls Intern" (Optional: Include links to GitHub, projects, or a short note on your interest in the role) Show more Show less

Posted 3 days ago

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