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The Principal Software Engineer at Cadence is responsible for driving innovations in electronic design automation (EDA), with a focus on emulation. The role involves leveraging strong skills in C++ and SystemVerilog, along with protocol knowledge, particularly in MIPI protocols, to develop impactful technological solutions.

The Lead Software Engineer will work with cutting-edge technology, focusing on protocols such as Ethernet and Automotive Ethernet, and will develop strong software using C and C++. Responsibilities include understanding object-oriented design, working with HDLs like Verilog/SystemVerilog, and exploring innovative solutions to challenges. The role emphasizes collaboration, creativity, and problem-solving.

The Product Engineer is responsible for validating, improving, and regressing Cadence’s Tempus product to ensure high quality. This role involves collaboration with R&D teams, defining product specifications, developing automated testing processes, and enhancing product performance. A strong understanding of timing analysis and relevant scripting languages is crucial.

The Principal Cloud Engineer will lead the development and implementation of cutting-edge technology solutions focusing on cloud services, API development, and database management. Responsibilities include defining standards, working with security guidelines, and collaborating with infrastructure teams to design scalable systems.

The Lead Product Engineer will drive the development of products and technologies, specifically focusing on UCIe Verification IP. Responsibilities include supporting pre-sales technical activities, facilitating product knowledge transfer, and collaborating across teams to align the product with customer needs. The role involves translating customer requirements into technical specifications and requires travel up to 20%.

The Principal Product Specialist will drive product positioning and messaging for AI-Driven Verification solutions. This role combines technical expertise in EDA tools with marketing skills, focusing on understanding customer needs and market trends. The candidate will collaborate with development, application, and account teams to implement go-to-market strategies and influence product development based on customer verification challenges.

Lead a cross-disciplinary R&D team focusing on machine learning and AI within the realm of scientific computing. Responsibilities include applying cutting-edge methods in neural networks, statistical inference, and delivering innovative technologies while collaborating with engineering teams.