R&D Engineering, Staff Engineer

Synopsys

Yerevan · On-siteSalary not disclosedfull-timeVerified recentlySynopsys Careers

You talk to the engineers who are stuck doing the same manual verification steps every week, you prototype something that cuts that time in half, and you iterate based on what works. Comfortable between Python scripting, API design, and conversations about physical design workflows, you translate between domains without losing the thread of what you are building or why it matters.

Responsibilities

Design and build software tools that automate repetitive engineering tasks and improve productivity across VLSI, EDA, and physical design workflows
Develop AI-assisted solutions and agent-based systems that integrate into existing development environments
Evaluate emerging AI technologies, LLMs, and automation frameworks, then prototype and deploy the ones that solve real problems for internal engineering teams
Partner with CAD, physical design, and verification engineers to understand workflow pain points and translate those into scalable software solutions
Build and maintain APIs, services, and workflow orchestration systems that connect tools, data sources, and automation layers
Create proof-of-concepts and production-quality applications that move from idea to deployment, then iterate based on actual usage
The Impact You Will Have
Accelerate the adoption of AI-assisted technologies across semiconductor design and verification teams by delivering tools that demonstrate clear, measurable value
Shape the technical direction of next-generation internal platforms, influencing architecture decisions that will affect engineering productivity for years
Enable engineers to focus on hard design problems instead of repetitive tasks by reducing friction in their daily workflows

Languages

Work format: On-site
Seniority: Senior
Posted: 3 Sept 2026 (yesterday)
Last verified: 4 Sept 2026

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Responsibilities

Design and build software tools that automate repetitive engineering tasks and improve productivity across VLSI, EDA, and physical design workflows

Develop AI-assisted solutions and agent-based systems that integrate into existing development environments

Evaluate emerging AI technologies, LLMs, and automation frameworks, then prototype and deploy the ones that solve real problems for internal engineering teams

Partner with CAD, physical design, and verification engineers to understand workflow pain points and translate those into scalable software solutions

Build and maintain APIs, services, and workflow orchestration systems that connect tools, data sources, and automation layers

Create proof-of-concepts and production-quality applications that move from idea to deployment, then iterate based on actual usage

The Impact You Will Have

Accelerate the adoption of AI-assisted technologies across semiconductor design and verification teams by delivering tools that demonstrate clear, measurable value

Shape the technical direction of next-generation internal platforms, influencing architecture decisions that will affect engineering productivity for years

Enable engineers to focus on hard design problems instead of repetitive tasks by reducing friction in their daily workflows