Principle Application Engineer

Company Description Cadence is a market leader in AI and digital twins, applying advanced computational software to accelerate innovation from silicon design to complex systems. Its Intelligent System Design™ strategy enables leading semiconductor and systems companies to develop next-generation products across markets such as hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences, and robotics. Cadence solutions are widely adopted to address challenging engineering problems and bring high-performance, reliable products to market faster. In 2024, the Wall Street Journal recognized Cadence as one of the world’s top 100 best-managed companies, underscoring its strong leadership and customer focus. Cadence offers broad opportunities for professionals who want to contribute to cutting-edge design technologies and industry-leading tools.

Role Description The Principal Application Engineer is a full-time, remote role responsible for enabling customer success with Cadence’s design and verification solutions. This role involves partnering closely with semiconductor and systems customers to understand their design challenges, propose technical solutions, and guide them in adopting and optimizing Cadence tools and flows. Daily activities include configuring and supporting EDA tool deployments, developing and validating reference flows, troubleshooting complex design and implementation issues, and delivering technical presentations, workshops, and training. The Principal Application Engineer collaborates with product engineering and R&D teams to provide feedback on features, influence product roadmaps, and help resolve critical customer issues. The role may also involve creating technical documentation, application notes, and best-practice guides, as well as supporting pre-sales evaluations and post-sales implementation projects.

Qualifications

• Strong expertise in electronic design automation (EDA), including digital or analog design flows, simulation, and verification tools.
• Proficiency in debugging complex technical issues, performing root-cause analysis, and developing practical workarounds and solutions.
• Excellent communication and customer-facing skills for delivering training, presentations, and technical consultation to diverse engineering teams.
• Ability to work independently in a remote environment, manage multiple customer engagements, and prioritize tasks effectively.
• Collaborative mindset and experience working across cross-functional teams such as sales, R&D, and product management.
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
• Experience with AI-driven design methodologies, design flow-level modeling is a strong plus.
• Background in Analog Circuit simulation and debug is a plus