Senior Staff R&D Engineer
Job Summary
Job Description
- EDA experience
- VLSI Physical Design
- Machine Learning
- Data Science
- Deep-Learning Architectures
- Advanced ML
- C++/Java
- Asynchronous Programming
10 skills required
Job Details
About the job
This role will chart a path into a new field at the intersection of Electronic Design Automation (EDA), Data Science and Machine Learning, applied to Semiconductor Design and Silicon Manufacturing flows.
The Pattern Analytics Senior Staff Engineer role requires an understanding of the state of the art in EDA, coupled with a creative approach to building products.
Technical skills required for this task will be able to imagine and then create new computational solutions, from prototype to full product implementation. Thus, the successful Pattern Analytics Senior Staff Engineer will work with a multi-disciplinary team to build and test completely new families of EDA products.
Responsibilities And Duties
- Develop software modules and shared libraries throughout a product life cycle, from prototype to customer release
- Work with a cross-functional teams across several disciplines to identify new approaches to layout analysis and define algorithmic solutions
- Implement testing and benchmarking automation for Pattern Analytics tools
- Assist in the creation of technical product documentation
- Troubleshoot customer issues after deployment and provide solid technical solutions
- Ph.D. or MS (with 3-5 years' industry experience) in EE, CS or related engineering fields with strong computational and numerical analysis concentrations.
- Experience in Electronic Design Automation, and/or VLSI Physical Design Verification, and/or Mask Data Generation is a plus.
- Specific skills in semiconductor design and manufacturing:
- Physical design, place and route
- DRC checks, DFM checks, Pattern Matching checks, Printability checks
- Physical design ECOs, layout fixing and automation
- Practical Machine Learning and Data Science (including statistical analysis and modeling)
- Exploratory Data Analysis and Data Cleaning
- Feature Engineering
- Advanced ML (Deep-Learning Architectures, Transformers, etc.) is a plus
- Strong Database Development Skills are required. Specifically:
- Queries Development and Optimization SQL – filtering, aggregation, sampling
- Graph representations, queries/traversal
- Multi-DB Query optimization, indices
- Server-based database implementation (such as PostgreSQL) and/or embedded database (such as SQLite)
- Programming Languages:
- Advanced Python 3, Javascript, SQL are required
- C++ and/or Java would be a strong plus
- Asynchronous programming
- Applications/Libraries for Data Visualization and Machine Learning
- Application/Libraries for Computational Geometry and VLSI Layout manipulation
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About The Company
Smart, Secure Everything—From Silicon to Software
Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure.
Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at the forefront of Smart, Secure Everything with the world’s most advanced tools for silicon chip design, verification, IP integration, and application security testing. Our technology helps customers innovate from Silicon to Software, so they can deliver Smart, Secure Everything.
Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every day.
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