Lead Product Engineer

Join a growing and dynamic IP team and help lead the development of best in class digital and mixed signal IP products. This is a tremendous opportunity to work with an experienced team focusing on development of high-performance IP related to protocols such as UCIe, PCIe, USB, DPHY and Ethernet PHYs.

The role will be a key member of technical staff in an organization responsible for IP activities including but not limited to Pre-sales engagement with potential customers, Pre-Silicon integration and Post silicon bring-up and test support for the customers. This candidate will be the primary interface between customer and CDNS R&D team. Candidate should possess strong communication skills with ability to manage multiple priorities on day-to-day basis. Ownership of tasks, ability to collaborate with remote teams located worldwide and clear communication of status, are must have attributes in this role.

Broad technical background with understanding of standard design flows, tools, and usage of hard and soft IPs.

Strong communication and organizational skills.

Experience with case management systems (SFDC, Jira).

Ability to prioritize cases, anticipate escalations, and manage technical reviews.

High-level understanding of technical issues; able to coordinate with subject matter experts.

Proactive in gathering feedback and driving continuous improvement.

Influential and collaborative, able to manage resources across the organization.

Skilled at listening to customer concerns and identifying potential issues.

Committed to customer satisfaction and timely case closure.

Bachelor’s in computer science or electrical engineering + 5 years of related experience, or Masters +3 years of related experience.

Experience in memory and/or communication interface IP protocols (DDR, LPDDR, GDDR, HBM, PCIExpress, Ethernet, USB, UCIe, etc).

A general grasp of circuit architecture and design fundamentals

Understanding of Analog/Mixed signal design practices

Bachelor’s in computer science or electrical engineering + 8 years of related experience, or Masters + 5 years of related experience.

Experience with usage of AI tools in rapid prototyping and development (vibe coding) and general experience with effective AI prompting.