4 окт

r&d engineer for semiconductor design automation

ориентир по рынку
вакансия зп не указана
в среднем 252 679 ₽
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ai-инструменты

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описание

Synopsys provides silicon design, IP, simulation and analysis solutions, and design services, helping customers develop AI-powered products and improve their R&D capabilities and productivity.

задачи

  • Design and build software tools to 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; prototype and deploy solutions for internal engineering teams
  • Partner with CAD, physical design, and verification engineers to identify workflow pain points and develop scalable software solutions
  • Build and maintain APIs, services, and workflow orchestration systems connecting tools, data sources, and automation layers
  • Create proof-of-concepts and production-quality applications, take them from idea to deployment, and iterate based on actual usage
  • Accelerate AI adoption across semiconductor design and verification teams by delivering tools with clear, measurable value
  • Shape the technical direction of next-generation internal platforms and influence architecture decisions affecting engineering productivity
  • Enable engineers to focus on design problems by reducing friction in daily workflows
  • Bridge VLSI and EDA domain expertise with emerging AI technologies
  • Deliver solutions that scale across projects, teams, and disciplines

требования

  • Bachelor's or master's degree 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 and 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, Git, and modern software development practices
  • Self-motivated and resourceful, able to identify gaps, prototype solutions, and iterate independently
  • Curious about emerging technologies and pragmatic when evaluating whether new AI frameworks solve real problems
  • Able to work across disciplines while maintaining technical depth
  • Adaptable and committed to continuous learning and incorporating feedback
  • Будет плюсом: experience with semiconductor design, VLSI, physical design, or EDA workflows

условия

  • Comprehensive health, wellness, and financial benefits, including monetary and non-monetary offerings

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