At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Why you should join:

TE Connectivity is looking for an experienced S/W system engineer to join its Industrial and Medical Sensors Engineering Organization as Algorithmic Developer. In this position you will report to the Manager for IoT Software Development, and you will be responsible for design, development, verification and validation of firmware and embedded software for our IoT products. You will work in close collaboration with hardware and software engineers to develop efficient and reliable solutions for our customers. 

Your main tasks: Provide technical leadership and resolve complex technical issues also by guiding and overseeing projects Design and development of efficient and complex algorithms  Development of decision support systems  Validate concepts by high-quality software prototypes and demonstrators  Maintain and update existing algorithms to ensure responsiveness, accuracy and efficiency  Analyze data to identify trends and patterns  Troubleshoot, debug and upgrade software  Create documentation  Collaborate with other software developers  Your ideal background: Degree in Computer Science, Mathematics, Physics, Data Science or relevant field combined with academic experience or professional experience in software engineering  Deep knowledge of math, probability, statistics and algorithmic development  Experience with high level prototyping software languages (e.g. Matlab, Python, Julia)  Hands on experience in developing efficient and reliable software, with excellent programming skills (e.g C#, C++, Rust, Java, etc.) and strong grasp of object-oriented programming is necessary  Good understanding of machine learning frameworks (e.g. Keras) and libraries (e.g. PyTorch, TensorFlow, etc) Experience in sensor technology or embedded software development is a plus Written and spoken fluency in English

#jobsEMEAAM

#LI-HYBRID

Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork