10 Tinyml Jobs

Position Title: TinyML / Embedded AI Principal Engineer Location: Bangalore Experience Required: 15+ Years Employment Type: Full-Time Role Purpose: The TinyML / Embedded AI Principal Engineer will lead the design, development, optimization, and deployment of AI solutions on edge and resource-constrained embedded devices. This role is critical to enabling real-time, mission-critical AI inference across advanced programs, with a focus on sensor fusion, hardware-software co-design, and embedded intelligence under strict latency, power, and memory constraints. Key Responsibilities: Architect and deploy TinyML / Embedded AI models for real-time inference on microcontrollers, SoCs, FPGAs, and cust...

Job Description : IoT Software Engineer Industrial Safety Solutions Position Overview We are looking for a passionate and skilled IoT Software Engineer to design and deliver next-generation Industrial Safety IoT applications. This role involves building robust IoT ecosystems that integrate safety sensors, wearables, and industrial equipment with cloud and analytics platforms to predict, prevent, and manage workplace risks. You will collaborate with safety experts, hardware engineers, and data scientists to develop scalable, secure, and compliant IoT solutions for industrial environments. Key Responsibilities Develop and deploy IoT-based safety solutions (e.g., gas leak detection, PPE complia...

You will be part of the Logitech Hardware Audio DSP and ML team, focusing on developing and implementing real-time audio ML solutions to enhance customer audio experiences. Your expertise in Audio DSP and TinyML will play a crucial role in contributing to the development of innovative audio products at Logitech. - Develop models and inference on resource-constrained platforms like Tensilica DSP, ARM, and RISCV cores. - Optimize and enhance algorithm performance in real-world conditions, providing innovative solutions to challenging problems. - Collaborate with cross-functional product teams to ensure the delivery of seamless customer audio experiences. - Minimum 7 years of experience in audi...

As an experienced Edge AI & Embedded Systems Trainer, you will be responsible for delivering a hands-on training program for corporate learners. Your role will involve teaching various concepts and technologies related to Edge AI and Embedded Systems. Key Responsibilities: - Teach Edge AI concepts and inference engines - Instruct on Neural Networks including CNNs, Transfer Learning, Keras, and TensorFlow Lite - Cover Data preprocessing, CRISP-DM, and MLOps for Edge AI - Educate on different Edge hardware such as SBCs, Microcontrollers, NN Accelerators, FPGA, and GPU - Provide training on TinyML and deployment on Cortex-M devices - Guide learners on Object Detection using models like MobileNe...

We are looking for an Edge AI Engineer to design and deploy on-device AI solutions for IoT, wearables, and real-time low-latency systems. Y

Job Overview As a Lead Scientist, you will spearhead the development and optimization of cutting-edge image processing algorithms and machine learning models with a focus on real-time performance. Your role will involve driving innovation in model compression, deploying AI solutions on edge devices, and collaborating closely with hardware teams to seamlessly integrate AI/ML models into real-time embedded Responsibilities : Processing Development : Design and implement real-time image processing algorithms. Work on tasks like object detection, tracking, and image segmentation. Develop image enhancement techniques and integrate them into Optimization and Machine Learning Development : Optimize...

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 clea...

In this role, as a member of the Logitech Hardware Audio DSP and ML team, you will play a key part in developing and implementing real-time audio ML solutions to provide customers with innovative audio experiences. If you possess a strong understanding of Audio DSP and TinyML, this role offers you the opportunity to significantly impact the audio products we create. Your main responsibilities will include developing models and inference on resource-constrained platforms such as Tensilica DSP, ARM, and RISCV cores. You will also be accountable for optimizing and enhancing algorithm performance in real-world scenarios, showcasing creative solutions to complex challenges. Collaboration with cro...

In this role you will be part of the Logitech Hardware Audio DSP and ML team developing and will be implementing real-time audio ML solutions to deliver innovative audio experiences to the customer. If you have a strong understanding of Audio DSP and TinyML apply for this role and have a huge contribution on the audio products that we develop! Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values youll need for success at Logitech. In this role you will: Responsible for developing model and inference on resource constrained platforms like Tensilica DSP...

Design, develop, and maintain embedded software systems using C/C++. Knowledge of deployment of AI frameworks, including TinyML/ EdgeML, to enhance embedded systems capabilities is beneficial. Conduct performance optimization of hardware systems to ensure ef ficient operation and resource utilization. Utilize understanding of CPU architecture: Perform capacity estimation and planning t o ensure that systems (built prototypes) are scalable and can handle projected workloads. Develop and maintain documentation for software design and implementation processes. Basic knowledge of WebAssembly is advantageous. Business fluent knowledge of Engli sh (written and spoken). Key responsibilities: Integr...