Solutions Engineering, Sr Staff Engineer

. Job Description: 

• Work with other Product Engineers and R&D to develop new DSO.ai features and applications. 

• Work with other Product Engineers and R&D to create new ML technologies and products across the SNPS portfolio. 

• Develop and deploy new DSO.ai methodologies and applications (this may involve exploring different methodologies and features across multiple designs, studying the results, and summarizing to R&D and Field ACs) 

• Assist Synopsys field ACs to help customer tapeouts and evaluations using DSO.ai 

• Work with other Product Engineers and R&D to develop and deliver training material, labs, and documentation for DSO.ai. 

• Develop and maintain customer testcase suite to validate PPA and perform PPA testing for newDSO.ai releases and new applications. 

• Motivated to learn and explore new technologies. 

• Problem-solving skills. 

• Working at a very detailed level with R&D engineers, other Product engineers, field engineers, customers and executives. 

• Communicating complex ideas to users: internal and external, written and verbal, formal and informal. 

• Researching and innovating solutions in known and unknown areas. 

• Driving for improved customer success through novel techniques through all phases of the IC design workflow. 

Preferred Experience: 

• Experience with EDA design tools and chip design flows (RTL and physical implementation and signoff) 

• Deep understanding of Synthesis and Physical Design Methodologies and Flows  

• Strong knowledge of Synopsys or competing synthesis and place and route tools (Fusion Compiler, IC Compiler II, Design Compiler preferred) 

• Good scripting skills in Tcl, Shell and Perl 

• Attentive to stringent performance and quality requirements for production toolchains 

• Communication skills, verbal and written; ability to produce design documents detailing product requirements. 

• BS/MS/Phd in EE, CS, CE or related discipline and 5+ years of experience. 

• Experience in analog design, test implementation, manufacturing a plus 

• Knowledge of Machine Learning algorithms and data structures is a plus. 

At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you have a passion for innovation, we want to meet you. Our EDA Group is all about building high-performance silicon chips—faster. We’re the world’s leading provider of solutions for designing and verifying advanced silicon chips. And we design the next-generation processes and models needed to manufacture those chips. We enable our customers to optimize chips for power, cost, and performance—eliminating months off their project schedules. 

Inclusion and Diversity are important to us. Synopsysconsiders all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.