Principal Application Engineer - Verification

You are a seasoned verification expert with a passion for deploying Synopsys Verification Platform tools, including VCS, Verdi, and VIP. As a Principal Application Engineer, you will work closely with customers to analyze their verification environments, identify bottlenecks, and recommend deployment strategies. You will deliver technical demonstrations, conduct benchmarking studies, and collaborate with R&D and product management to shape the future roadmap of AI-enabled verification solutions.

Your expertise in VLSI design flow and verification methodologies, including fluency in SystemVerilog, Verilog, VHDL, or SystemC, will enable you to drive customer adoption of Synopsys Verification Platform, reduce their time to tapeout, and improve chip quality. You will build deep technical relationships with customers, become their trusted advisor, and contribute to customer success stories that demonstrate measurable ROI from Synopsys solutions.

Key responsibilities include:

• Analyzing customer verification environments and methodologies to identify bottlenecks and recommend deployment strategies
• Delivering technical demonstrations and proof-of-concept projects that showcase Generative AI agents in verification
• Conducting benchmarking studies and presenting findings to engineering teams and management
• Collaborating with R&D and product management to translate customer pain points into requirements for next-generation AI-enhanced EDA capabilities
• Leading technical discussions and training sessions on UVM methodologies, low power verification techniques, and advanced debugging using Verdi
• Debugging customer testbenches, simulation environments, and scripts to resolve deployment issues

The ideal candidate has a Bachelor's degree in Computer Science, Electrical Engineering, or Computer Engineering with 7+ years of hands-on functional verification experience, deep knowledge of VLSI design flow and verification methodologies, and proficiency in UNIX/Linux environments and scripting languages like shell, Perl, or Python.