Staff Engineer
Synopsys IncYerevan, Yerevan, Armenia
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Job details
More jobs in ArmeniaCompany name
Synopsys Inc
Company type
Private
Job type
Full Time
Salary range
Not Specified
Location
Yerevan, Yerevan, Armenia
Qualifications
Bachelor's Degree
Experience
3-5 years
Functional area
Software Engineer
International applicants
Yes
About this role
Synopsys Inc is seeking a Staff Engineer in Yerevan, Armenia. This role involves designing and building software tools to automate engineering tasks and improve productivity within VLSI, EDA, and physical design workflows. You will be instrumental in developing AI-assisted solutions and integrating them into existing development environments.
Synopsys is a 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.
Looking for a self-motivated and resourceful engineer to join our collaborative R&D team. Apply now to shape the future of semiconductor engineering!
Company Overview
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.
Quick Details
- Salary Range: Not Specified
- Job Type: Full-time
- Qualifications: Bachelor's or master's in computer science, Electrical Engineering, Computer Engineering, or equivalent practical experience
- Experience: 5+ years of software development experience
Key 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.
Requirements
- Bachelor's or master's in computer science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
- 5+ years of software development experience in automation, CAD, EDA, or related engineering domains.
- Strong programming skills with the ability to design and build scalable, maintainable software applications.
- Solid grounding in software architecture, algorithms, data structures, and object-oriented design principles.
- Hands-on experience with AI technologies such as Large Language Models, agent-based systems, or intelligent automation frameworks.
- Experience designing and integrating APIs, services, and workflow automation solutions.
- Familiarity with Linux development environments, version control systems like Git, and modern software development practices.
- Experience with semiconductor design, VLSI, physical design, or EDA workflows is a strong plus.
Benefits
- Comprehensive range of health, wellness, and financial benefits.
- Total rewards include both monetary and non-monetary offerings.
- Opportunities to work on cutting-edge AI technologies and automation frameworks.
- Collaborate with engineers across multiple domains to drive innovation.
- Shape the technical direction of next-generation internal platforms.
- Enable engineers to focus on hard design problems instead of repetitive tasks.
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