Find & Apply For Electronics Engineer Jobs In Berkeley, South Carolina

Electronics Engineer jobs in Berkeley, South Carolina involve designing, developing, and testing electronic systems and components. Responsibilities may include analyzing customer needs, creating technical drawings, and troubleshooting issues. These professionals typically work in research labs, manufacturing facilities, or engineering firms. Salaries for Electronics Engineers in Berkeley, South Carolina range from $70,000 to $100,000 per year. Below you can find different Electronics Engineer positions in Berkeley, South Carolina.

Jobs in Berkeley

Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.

Latest Jobs in Berkeley

Salary Information & Job Trends In this Region

Electronics Engineers in Berkeley, South Carolina design, develop, and test electronic systems and components. - Entry-level Electronics Engineer salaries range from $50,000 to $70,000 per year - Mid-career Electronics Engineer salaries range from $70,000 to $90,000 per year - Senior-level Electronics Engineer salaries range from $90,000 to $120,000 per year The role of Electronics Engineer in Berkeley, South Carolina has a rich history dating back to the early days of electrical engineering. With the rise of technology and the increasing demand for electronic devices, the need for skilled professionals in this field has grown significantly. Over the years, the field of Electronics Engineering has evolved to incorporate cutting-edge technologies such as IoT, AI, and robotics. Engineers in Berkeley, South Carolina now work on complex projects that require a deep understanding of both hardware and software components. Current trends in Electronics Engineering in Berkeley, South Carolina include a focus on sustainable design practices, the integration of renewable energy sources, and the development of smart devices for various industries. Engineers in this field are also exploring new applications for artificial intelligence and machine learning in electronic systems.

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