Description We are seeking a skilled Hardware Design Engineer to join our innovative team in India. The successful candidate will be responsible for designing and developing high-performance hardware solutions for various electronic applications. Responsibilities 1.Design embedded systems based on Microcontroller/Microprocessor systems. 2.Develop subsystems covering power supply, I/O interfaces, displays, and communication protocols (UART, SPI, I2C, USB). 3.Design power circuits including DC-DC converters, LDOs, and perform thermal calculations. 4.Create schematics, layout designs, and oversee board bring-up, testing, and prototyping. 5.Communicate with vendors for component sourcing and assembly processes. 6.Perform hardware validation, debugging, and root cause failure analysis. 7.Address EMC/EMI/ESD issues in electronic circuits. 8.Coordinate with Project and Mechanical Engineering teams for interface requirements. 9.Utilize test equipment for validation and component selection. 10.Conduct design reviews with stakeholders and PCB Assembly vendors. 11.Utilize engineering tools for design analysis and verification. 12.Demonstrate exceptional written and oral communication skills. 13.Work effectively in a team environment and contribute to innovative problem- solving. 14.Manage multitasking across multiple development projects. 15.Proficiency in Embedded C programming is an additional advantage. Skills and Qualifications Digital Hardware Design Hardware Design High-Speed Board Design Circuit Designing Analog Designing Vendor Communication Hardware Validation EMC/EMI/ESD Mitigation Component Selection Product Lifecycle Management (PLM) Design Analysis and Verification Multitasking Written and Oral Communication Self-motivation and Team Collaboration Problem-solving and Creativity

Description We are seeking an experienced Embedded AI Engineer to join our innovative team in India. The ideal candidate will have a strong background in embedded systems and artificial intelligence, with a passion for developing cutting-edge AI solutions that operate efficiently on hardware platforms. Responsibilities Deep Learning Model Development: Design and develop advanced deep learning models for computer vision tasks. Embedded Deployment: Deploy, optimize, and integrate AI models on embedded platforms and NPUs. Performance Optimization: Work on performance optimization for resource-constrained devices, ensuring efficient execution. Collaboration: Collaborate with cross-functional teams, including hardware and software engineers, to integrate AI solutions. Learning & Growth: Stay current with the latest advancements in deep learning, AI model deployment, and embedded systems. Testing & Validation: Validate and test AI models to ensure high reliability and efficiency on embedded systems. Skills and Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics and Communication Engineering (ECE), or a related field 3-5 years of experience in embedded systems and AI development. Strong proficiency in Python and experience with Python libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib. Hands-on experience with machine learning and deep learning concepts. In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras). Solid understanding of computer vision and image processing. Experience with AI model optimization for embedded platforms. Familiarity with OpenCV, GStreamer, and CUDA for GPU acceleration. Experience in designing custom CNN, RNN, and LSTM models. Proven experience deploying models on NPUs or embedded platforms (e.g., Hailo, Jetson Nano, Coral Dev Board). Practical knowledge of optimization techniques for resource-constrained devices (e.g., memory, compute).