Top Semiconductor Software Engineer Jobs

As an Applications Engineer, you will support semiconductor companies by debugging customer issues, leading training sessions, and contributing to design improvements.

The Sr. Director of Front End Engineering will drive innovation in semiconductor solutions, oversee engineering teams, and ensure project success with customer-centric solutions.

The role involves architecting software systems, developing solutions, debugging issues, and collaborating across teams while ensuring software quality and performance.

Design and develop complex software solutions for semiconductor equipment, troubleshoot software issues, and communicate with customers for requirement analysis.

Develop algorithms and major modules, conduct research and evaluations, document processes, and guide developers in compliance with project goals.

The internship involves multiscale modeling focusing on physics and AI modeling. Interns will run simulations and define workflows using Python and related libraries.

As a Principal UI Engineer, you'll enhance Orion's UI by collaborating with team members on scientific visualization, data management, and feature development alongside maintaining existing software.

As a Software Engineer I, you will provide R&D support, engage in debugging, and develop new features to enhance product performance in a collaborative team environment.

This internship involves using machine learning for thermal and power integrity analysis, with opportunities in software development and debugging.

The role involves managing data pipelines, supporting analytics, and enabling AI-ready data models using Databricks on AWS, focusing on data validation, ETL processes, and ensuring data quality for AI use cases.

The Workflow Automation Engineer at Texas Instruments will design and implement automated solutions for manufacturing and quality processes, requiring deep operational understanding and strong software engineering skills.

Develop and maintain software solutions for mainframe products, participate in agile development, and engage in code and test plan reviews.

The role involves developing advanced location technologies, optimizing receiver models, designing algorithms for GNSS systems, and collaborating with various engineering teams. Responsibilities include simulation, testing, and performance analysis of location IP products.

The AI Driven Verification CAD Engineer will develop AI frameworks, innovate verification methodologies, and integrate AI tools to enhance ASIC design productivity while supporting global engineering teams.