Junior Hardware Engineer - Automation and Data Analysis

Job Title

Junior Hardware Engineer - Automation and Data Analysis

Role Summary

Work in an R&D validation lab building test automation, collecting and analyzing measurement data, and debugging hardware using lab instrumentation. Collaborate with analog and digital designers to accelerate validation and improve hardware quality.

This is a hands-on engineering role focused on automation, data analysis, and test procedure development for hardware and IP products.

Experience Level

Entry-level (Junior). Typically suitable for early-career engineers, recent graduates, or candidates with internship/initial professional experience (0–3 years).

Responsibilities

Contribute to validation and verification activities by automating tests, processing data, and troubleshooting hardware.

• Develop and maintain test automation scripts to run validation sequences, collect measurements, and generate alerts.
• Analyze validation datasets to identify trends, anomalies, and performance characteristics.
• Apply or learn AI/ML techniques to improve processing and interpretation of large test datasets.
• Set up and debug hardware using oscilloscopes, network/spectrum analyzers, signal generators, and other lab instruments.
• Maintain data storage and database infrastructure supporting test data collection.
• Document test configurations, instrumentation connections, and validation procedures.
• Organize and present test results for engineering decision-making and continuous process improvement.

Requirements

Must-have technical skills and experience for day-one contribution; listed items are concise requirements. Nice-to-have items are noted separately.

• Must-have: Hands-on experience with electronic test equipment (oscilloscopes, signal generators, network analyzers) from coursework, internships, or work.
• Must-have: Ability to read and interpret board schematics and understand component/signal behavior.
• Must-have: Programming or scripting experience (Python, MATLAB, or similar) for automation and data processing.
• Must-have: Familiarity with data analysis libraries or workflows (for example, Pandas, NumPy) or exposure to machine learning concepts.
• Must-have: Strong organizational skills, attention to detail, and clear communication of technical findings.
• Nice-to-have: Experience with digital design (Verilog or VHDL).
• Nice-to-have: Experience maintaining test data infrastructure or databases to support large-scale validation campaigns.

Education Requirements

Bachelor's or Master's degree in Electrical Engineering, Electronic Engineering, or a closely related technical field (the posting specifies Bachelor's or Master's degrees). No certifications were specified.

About the Company

Company: Synopsys

Headquarters: Mountain View, California, USA

Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.