Sr. Principal Product Engineer

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

The Product Engineer is a critical bridge between customers, R&D, and business stakeholders, responsible for defining, validating, and delivering high-quality, production-ready software solutions. This role owns Pegasus product behaviour from early requirements definition through customer deployment, with a strong focus on correctness, performance, scalability, and usability.

In addition to deep domain expertise, the role increasingly leverages AI-assisted analysis, data-driven decision making, and automation to improve product quality, predict issues, accelerate root-cause analysis, and enhance customer outcomes.

Key Responsibilities

Product Definition & Technical Ownership

• Own different parts of Pegasus from requirements definition through release support.
• Translate customer use cases and market needs into clear Product Requirement Specifications (PRS) and collaborate with R&D on functional specifications.
• Review and validate product designs to ensure alignment with customer expectations, architectural standards, and long-term roadmap goals.
• Act as a recognized product expert, providing consultation and technical guidance across engineering, field, and customer teams.

• Partner closely with customers to understand real-world workflows, diagnose complex issues, and drive timely resolutions.
• Lead investigation of product correctness, performance, and scalability issues usingsystematic analysis and data-driven debugging.
• Consolidate customer feedback and production data into actionable insights for product improvement.
• Represent Product Engineering in escalations and customer reviews, ensuring clarity, accountability, and technical credibility.

• Drive release readiness decisions by evaluating quality metrics, risk, and customer impact.
• Collaborate with QA and R&D to improve test coverage, reduce defect escape, and increase predictability of product behavior.

• Apply AI-assisted techniques to accelerate root-cause analysis, performance bottleneck identification, and anomaly detection.
• Leverage data from regressions, customer runs, and field usage to identify patterns, predict failure modes, and prioritize improvements.
• Use scripting and automation (e.g., Python) to build intelligent workflows for triage, validation, and reporting.

• Work in a global, cross-functional environment spanning R&D, QA, Field Applications, and Foundry/Partner teams.
• Lead a review specification and guide technical decision-making.
• Identify emerging technologies and industry trends that can create competitive or business differentiation.

• Strong background in software engineering, EDA tools, or complex technical systems.
• Experience translating customer requirements into product specifications and production-ready solutions.
• Proven ability to debug complex technical issues across correctness, performance, and scalability dimensions.
• Proficiency in scripting or programming (e.g., Python, Perl, or similar).
• Experience working directly with customers and distributed engineering teams.

• Experience applying AI concepts to engineering problems (analysis, prediction, automation, intelligent diagnostics).
• Background in semiconductor and EDA environments.
• Ability to influence product direction and technical strategy beyond immediate assignments.