Johnson Controls is seeking a Senior Software Engineer to join their Sensormatic Electronics division in Campbell, California. This role combines advanced machine learning, data science, and software engineering to enhance smart home and security technologies. The position offers a competitive salary of $172,931 per year with a hybrid work arrangement allowing 3 days of remote work.
The ideal candidate will work at the intersection of IoT, machine learning, and security systems, developing cutting-edge solutions for smart home technology. Key responsibilities include implementing voice and face recognition technologies, developing anomaly detection systems, and creating predictive models for smart home operations. The role requires expertise in machine learning algorithms, statistical modeling, and data visualization, with opportunities to work on innovative projects that directly impact product development and customer experience.
The position requires a master's degree in Computer Science, Software Engineering, Data Science, or a related field, with specific graduate-level coursework in advanced topics such as Machine Learning, Natural Language Processing, and Neural Networks. This role offers an excellent opportunity to work with global teams, lead innovative projects, and contribute to technological advancements in the smart building and security industry.
As part of Johnson Controls, you'll be joining a global leader in building intelligence and sustainability. The company's commitment to making buildings smarter, safer, and more efficient provides an exciting environment for professional growth and innovation. The hybrid work arrangement and comprehensive benefits package make this an attractive opportunity for experienced software engineers looking to make a significant impact in the smart building technology sector.