Software & Digitalization organization is seeking a motivated and experienced Embedded Engineers to take our solutions to the next level. This person will play a key role in defining and or architecting our firmware and software solutions covering a wide range of devices and end applications.
You will be the key person who will transform pieces of silicon on a PCB and make them truly come to life for our customers with innovative features and capabilities.
You have the vision and know-how that a total solution is not just about firmware running on a microcontroller but also encompasses mobile applications, cloud capabilities like AI and ML, and being agile to keep up with an ever-changing landscape of new programming paradigms.
In SW&D org, we solve customer technical challenges starting from the solution level and going down to the device level. Our software solutions should follow the same path.
You will be a key driver in defining and or architecting next-generation ways for developers to interact with and manipulate silicon devices. Some of these methodologies exist today and others are on the verge of becoming mainstream.
Within SW&D org, we have the power and capability to make these a reality in the best interest of our customers. We are all about improving the customer experience, which in many cases starts with software. Having a good software out-of-the-box experience is monumental to the overall SW&D org philosophy.
Qualifications
masters or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning and AI.
Proven experience in developing machine learning models and deploying AI solutions in a production environment.
Familiarity with machine learning frameworks (eg, TensorFlow, PyTorch) and libraries (eg, scikit-learn, pandas). Awareness of latest advancements in AI and machine learning, and generative AI.
Data analysis and feature engineering to optimize algorithms for EDA applications.
Strong programming skills in Python, C++, or other relevant languages.
Knowledge of electronic design automation tools and methodologies is highly desirable.
Excellent problem-solving abilities and a passion for innovation in the EDA space
Collaboration with cross-functional teams to integrate AI capabilities into software products.
we'll organized with attention to detail, accuracy, and target audience
Able to creatively problem-solve engineering and business challenges, many times concurrently
