Junior Hardware Engineer, Automation and Data Analysis

Descriptions & Requirements

Job Description and Requirements

We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You Are You have an electrical or electronics engineering background and you are ready to apply what you learned in a real R&D lab environment. You are comfortable with test equipment like oscilloscopes and signal analyzers, whether from university projects, internships, or early career work, and you want to go deeper. Writing scripts to automate repetitive tasks makes sense to you, and you are eager to learn how to build tools that make validation faster and more reliable. You can read a schematic and understand signal flow well enough to set up a test or troubleshoot when measurements do not match expectations. Debugging does not frustrate you, it engages you. You like figuring out why something behaves a certain way, and you are willing to dig through data, documentation, and hardware until you find the answer. You are curious about how AI and machine learning can be applied to engineering problems, even if your experience so far is academic or exploratory. At Synopsys, you will work alongside experienced hardware engineers and designers in a lab equipped with professional-grade instrumentation, and you will have the opportunity to develop automation, data analysis, and problem-solving skills that will define your engineering career.

Build and maintain test automation scripts that execute validation sequences, collect measurement data, and flag issues automatically Analyze validation data to identify trends, performance characteristics, and anomalies that help the team understand hardware behavior Learn to apply AI and machine learning techniques to improve how the team processes and interprets large datasets from test campaigns Debug hardware issues using lab instrumentation like oscilloscopes, network analyzers, and spectrum analyzers to understand system and component-level behavior Maintain the database infrastructure required to support the collection of data Set up and document test configurations, including instrumentation connections, board-level integration, and validation procedures Organize and report test results in a clear, structured format that engineering teams can use to make design decisions Contribute to continuous improvement of test processes, automation tools, and lab workflows The Impact You Will Have Your automation work will reduce the time engineers spend on repetitive test execution, allowing the team to validate more configurations in less time The data analysis you perform will help surface issues earlier in the development cycle, improving product quality and reducing costly redesigns Your contributions to AI-enabled tooling will help the team extract meaningful insights from test data faster than manual review allows The test setups and documentation you create will support validation efforts across multiple projects and product lines Your debugging efforts will help resolve hardware issues that could otherwise delay product schedules The process improvements you help implement will raise the overall efficiency and effectiveness of the validation team Your work will contribute directly to the quality and reliability of Synopsys hardware and IP products that customers integrate into their semiconductor designs What You'll Need Bachelor's or Master's degree in Electrical Engineering, Electronic Engineering, or a related technical field Hands-on experience with electronic test equipment such as oscilloscopes, signal generators, or network analyzers, whether from coursework, internships,