Software Engineer

Cadence•San Jose, CA

13d•$186,142 - $253,500•Onsite

About The Position

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will 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.

Requirements

Master’s degree in Electrical Engineering, Computer Engineering, or related field
Minimum three (3) years of experience in the job offered or in a related engineering occupation.
Digital synthesis and physical design flow using Genus and Innovus
Analyze complex designs on advanced technology node using C, C++, Python, and TCL
Design rules on 10nm/7nm/5nm/3nm and below technology nodes, including double patterning, via spacing and other trim rules
Provide detail route solutions on advanced technology designs
Detail routing algorithms including physical design rules, timing and power requirements
Congestion, hotspot and Design Rule Checking (DRC) analysis, including developing functions to analyze and report routing hotspots based on congestion metrics and design rule violations, applied to both globalRoute and detailRoute to improve final routing results
Fundamental mathematical concepts in machine learning and deep learning, including multimodal auto-encoder, deep canonical correlation analysis, multi-kernel learning, attention models and multimodal recurrent neural networks
Fundamental principles and engineering trade-offs involved in designing modern parallel computers

Responsibilities

Research, design, and develop computer and network software or specialized utility programs for multinational computational software company.
Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
Support advanced technology rule by improving existing data structures to meet the rule requirements and integrate the rule-based features with advanced electronic design automation (EDA) flow.
Optimize power, performance, and area (PPA) with large-scale statistical analysis on regressions and customized algorithm development and implementation.
Reduce software runtime by experiments with critical runtime case and system design to shorten customer product development cycle time.
Improve software scalability by refining existing multi-thread and distributed systems to support the increasing complexity and size in advanced technology.
Maintain detail route core engine with domain knowledge, modern program language (C++20), computer architecture, and compiler optimization to improve software stability and flexibility.
Support customer requirements by coworking with application engineers and product engineers to achieve timely troubleshooting.