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Posted 15 July, 2026

Engineering, Principal Engineer

Synopsys
Bengaluru Full Time
Reference: 157_759757_httpssynopsysavaturenetcareersJobDetailEngineeringPrincipalEngineer1704517045businessTitleEngineering2CPrincipalEngineer

Descriptions & Requirements

Job Description and Requirements

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 an accomplished engineer with a passion for physical design and a drive to solve complex challenges in advanced semiconductor technology. With 12+ years of hands-on experience in the complete RTL-to-GDS flow, you thrive on collaborating with customers and internal teams to deliver innovative, high-value solutions. Your expertise spans advanced nodes, synthesis, design planning, and place & route, complemented by a strong command of timing closure, power reduction methodologies, DRC rules, and formal verification. You are adept at leveraging industry-leading EDA tools such as Fusion Compiler, PrimeTime, PrimeClosure, Formality, DSO.ai, FusionAI, ICV, StarRC, and RTLA, and you are well versed with AI/ML applications, building and deploying AI Agents.

What You'll Be Doing:

  • Engaging directly with Synopsys customers to understand their design goals, challenges, and requirements, building tailored solutions that maximize their productivity and success.
  • Demonstrating the unique advantages and capabilities of Synopsys' industry-leading physical design tools, including Fusion Compiler, PrimeTime, and DSO.ai, through hands-on support and customer enablement activities.
  • Collaborating closely with Synopsys R&D and Product Engineering teams to influence tool development, provide feedback from the field, and drive enhancements that address real-world design challenges.
  • Delivering technical presentations, workshops, and training sessions to empower customers and internal teams with best practices in synthesis, place & route, timing closure, and power optimization.
  • Diagnosing and resolving complex design issues, providing expert guidance on advanced node challenges, DRC closure, ECO flows, and formal verification methodologies.
  • Contributing to the productivity and growth of the Application Engineering team by sharing expertise, developing technical collateral, and mentoring junior engineers.

The Impact You Will Have:

  • Accelerate customer success by ensuring smooth adoption and optimal use of Synopsys' physical design solutions across advanced technology nodes.
  • Drive innovation in EDA tool development by channeling customer feedback and real-world requirements directly to Synopsys R&D teams.
  • Enhance the industry's most advanced chip design flows, enabling customers to achieve faster time-to-market and higher quality silicon.
  • Position Synopsys as a trusted partner and thought leader in physical design, strengthening long-term customer relationships and industry reputation.
  • Facilitate knowledge transfer and skill development within the team, raising the overall competency and effectiveness of the Applications Engineering group.
  • Contribute to Synopsys' business growth by showcasing the value and differentiation of Synopsys tools in competitive engagements and benchmark evaluations.

What You'll Need:

  • Bachelor's and/or Master's degree in Electrical Engineering or a related field.
  • 15+ years of experience with the complete RTL-to-GDS physical design flow, including advanced nodes.
  • Proficiency with industry-standard EDA tools: Fusion Compiler, PrimeTime, PrimeClosure, Formality, DSO.ai, FusionAI, ICV, StarRC, RTLA, and familiarity with Innovus, Genus, Tempus, Quantus, Cerebrus.
  • In-depth understanding of synthesis, design planning, place & route, timing closure, power reduction, DRC rules, static timing analysis, and ECO methodologies.
  • Experience with LLMs, GPT models, and other generative AI techniques.
  • Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex design and tool issues.

Who You Are:

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