4 Tinyml Jobs

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.,

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 cross-functional product teams to ensure the delivery of a seamless customer audio experience will be a crucial aspect of your role. To be successful in this role, you are expected to exhibit behaviors and values such as being yourself, open, hungry, humble, collaborative, challenging, decisive, and action-oriented. Sharing Logitech's passion for Equality and the Environment is also essential. Key Qualifications: - Leading a ML team with over 10 years of experience in audio signal processing/ML. - Hands-on experience in Tiny ML/Embedded ML, including porting neural network algorithms onto embedded targets using device-specific tools and inference APIs. - Deep understanding of on-device quantization techniques and neural network operators mapping to embedded hardware accelerators. - Strong programming skills in C and Python. - Familiarity with Deep Learning Audio Signal Processing approaches. Additional Skills: - Proficiency in Linux and Docker. - Knowledge of CMSIS NN, HIFI NNLib is a plus. - Understanding of audio measurements and standard evaluation metrics. - Experience in hardware product development from concept to mass production. - Audio listening skills and artifact detection. - Effective communication in a cross-functional environment. - Strong problem-solving and critical-thinking abilities. - Familiarity with code version control practices. Logitech provides an environment where individuals who are passionate about products, making an impact, and enjoying their work can thrive. The company's size and flexibility allow every individual to take initiative and drive results, while the global impact of its portfolio presents a significant opportunity for making a difference. Logitech values authenticity, inclusivity, and diversity, creating a supportive and engaging workplace for all its employees.,

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, ARM and RISCV cores. Responsible for optimizing and improving algorithm performance in real-world conditions demonstrating innovative solutions to tough challenges. Work with cross-functional product team to deliver seamless customer audio experience. Key Qualifications: For consideration, you must bring the following minimum skills and experiences to our team: 7+ years of experience working in audio signal processing product teams. Tiny ML / Embedded ML - Hands-on experience porting neural network algorithms from intermediate representations such as Tensor Flow (TFLM), ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference APIs. Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference. Strong programming skills in c, python. Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSPs and NPUs. Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickup Additional Skills: Experienced with Linux, Docker. Familiarity with CMSIS NN, HIFI NNLib is a plus Familiarity with audio measurements and standard subjective/objective audio evaluation metrics. Experience working in hardware product teams from product concept to mass production Good Audio listening skills and experience detecting audio artifacts. Experience communicating effectively in a cross functional environment. Strong problem-solving, critical-thinking skills Familiarity with code version control practices Education : Minimum Engineering degree in EE, CS or equivalent practical experience.

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: Integrate different ML frameworks (together with an ML engineer) on WebAssembly an d BMW series Hardware (RTOS, POSIX). Measure performances and develop clear documentation. Benchmark different ML frameworks p erformances and memory footprints. Conduct pre-development activities, inc