R&D Engineer

Job Description

About Lensa
Lensa is a career site that facilitates job seekers in finding employment opportunities within the US. It operates as a platform, not a staffing firm or agency, and does not directly hire for the jobs it advertises. Instead, Lensa promotes job openings on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. For this specific job posting, Lensa partners with DirectEmployers to promote the position for Cadence Design Systems. When a user clicks “Apply Now” or “Read more” on Lensa, they are redirected to the actual job board or employer’s site, where any information collected is subject to that site’s terms and privacy notice. Questions about the job posting itself can be directed to support@lensa.com.

About Cadence Design Systems
Cadence is a global electronic design automation (EDA) company that plays a critical role in creating the technologies modern life depends on. It provides software, hardware, and intellectual property to design advanced semiconductor chips, enabling its customers to create revolutionary products and experiences. Cadence is committed to hiring and developing leaders and innovators who aspire to make a significant impact on the world of technology.

Cadence prides itself on an empowering culture that has been cultivated for over 25 years, leading to its consistent recognition by Fortune Magazine as one of the “100 Best Companies to Work For.” This success is attributed to the outstanding caliber of its team, a shared passion for solving the world’s toughest technical challenges, a dedication to pushing industry limits, and a drive to do meaningful work.

Cadence is an equal opportunity employer, committed to diversity and inclusion. All qualified applicants receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class. The company also participates in the E-Verify program in certain U.S. locations as required by law. For those experiencing difficulty using the job site or requiring a reasonable accommodation, Cadence encourages contacting staffing@cadence.com. Job applicants creating a profile on their careers website should review the Cadence privacy policy.

Job Description
This role is for a member of an expert Research & Development (R&D) team at Cadence. The team is responsible for creating technologies and products that enable both static and dynamic transistor-level analysis and characterization of highly advanced custom digital and mixed-signal circuits. These circuits are designed for critical markets such as communication, Internet of Things (IoT), and Artificial Intelligence (AI).

Your Work Will Be Focused On:
• Research and Development of Machine Learning Technology: The primary focus involves applying machine learning to achieve significant improvements (order of magnitude) in speed, capacity, and usability for the simulation and characterization of digital and analog circuits.
• Infrastructure for Massive Parallelization: Developing the necessary infrastructure to support and manage massive parallelization of characterization runs, indicating a need for scalable and efficient computational systems.
• Tools/Infrastructure for Characterization Data Mining: Creating tools and infrastructure specifically for mining and analyzing characterization data, which suggests a focus on extracting insights and patterns from large datasets.

Desired Skills And Experience:
To succeed in this role, candidates should possess:
• Industry Experience with C++ Development: Proven industry experience in developing and maintaining applications based on C++.
• Unix or Linux Environment Proficiency: Strong experience working within Unix or Linux operating system environments.
• Quality and Software Processes Experience: Familiarity and experience with established quality assurance and software development processes, indicating an understanding of best practices in software engineering.
• Proficiency in Data Structures, Algorithms, and Software Engineering Principles: A solid foundation and demonstrated proficiency in designing efficient data structures, implementing complex algorithms, and applying fundamental software engineering principles.

Cadence emphasizes that they are doing “work that matters” and are looking for individuals who can “help us solve what others can’t.”