Agentic Systems Developer - Mechanical

Category Engineering Hire Type Employee Job ID 14119 Base Salary Range $101000-$151000 Remote Eligible No Date Posted 28/01/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a skilled engineer passionate about creating AI-driven solutions that elevate user productivity. With a strong background in computer science, AI, and machine learning, you bring practical experience working with Large Language Models and scripting in Python. You thrive on solving complex problems, communicate clearly, and collaborate effectively across teams. Motivated, detail-oriented, and eager to learn, you enjoy turning innovative ideas into reliable, high-impact product features.

• Designing and implementing robust, end-to-end agentic workflows within the Ansys Mechanical product using cutting-edge AI technologies.
• Analyzing real-world usage data to iteratively improve workflow effectiveness and user experience.
• Developing and optimizing embedding pipelines and integrating with vector databases to achieve high-performance, cost-effective AI systems.
• Creating, refining, and deploying high-quality Large Language Model prompts to deliver impactful AI-powered user interactions.
• Deploying AI workflows to local networks, ensuring secure and reliable integration into existing infrastructure.
• Investigating and resolving defects in production code, enhancing software reliability and user trust.
• Developing comprehensive unit tests for new features, ensuring maintainable and error-resistant codebases.
• Analyzing results from AI workflows to drive continuous improvements in software usability, reliability, and performance.

• Transforming advanced AI and agentic frameworks into tangible product features that elevate user productivity and satisfaction.
• Driving the adoption of innovative AI technologies within Synopsys' Mechanical Core, setting new standards for intelligent product design.
• Accelerating the development and deployment of high-impact AI solutions, directly influencing the capabilities of next-generation engineering tools.
• Enhancing the reliability and efficiency of AI-powered workflows, reducing operational friction for end users.
• Contributing to a culture of excellence, collaboration, and continuous learning within a high-performing engineering team.
• Enabling Synopsys to maintain its leadership in delivering intelligent, scalable, and future-ready technology solutions to a global market.

• Bachelor's Degree with 2 years of experience or Master's Degree in Computer Science or similar field, with coursework in Artificial Intelligence and Machine Learning.
• Demonstrable experience working with Large Language Models in production environments.
• Proficiency in scripting languages, especially Python, for rapid prototyping and workflow automation.
• Strong analytical and algorithmic problem-solving skills, with a focus on scalable and efficient solutions.
• Experience with unit testing, debugging, and code optimization in complex software systems.
• Familiarity with development tools such as Microsoft Visual Studio, Git, and GitHub.
• Exposure to NLP, Knowledge Graphs, and agentic workflows (reasoning, tool usage, automated task execution, Model Context Protocols).
• Knowledge of additional programming languages such as C++, C#, Go, Rust, or Java is a plus.

• An innovative and adaptable engineer with a growth mindset.
• Excellent written and verbal communicator, able to collaborate across teams and present complex ideas clearly.
• A responsible, motivated team player who takes ownership and delivers results.
• Detail-oriented with a passion for quality and continuous improvement.
• Curious and proactive, always seeking new ways to solve problems and add value.