NVIDIA is at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of what’s possible in VLSI CAD? Come be part of our pioneering team!
What You'll Be Doing
- You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
- Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
- Research, prototype, and deploy AI-based algorithms.
- Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
- Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
- Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.
- B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
- 5+ years of experience in VLSI CAD tool development, with a strong focus on integrating AI/ML techniques into EDA workflows.
- Proficiency in Python and at least one AI/ML framework (such as TensorFlow, PyTorch, or scikit-learn).
- Hands-on experience with VLSI physical design and familiarity with industry-standard EDA tools (e.g., Synopsys, Cadence).
- Knowledge of data preprocessing, feature engineering, and model deployment as applied to VLSI design challenges.
- Experience developing and maintaining automation scripts (Python, Perl, Tcl, Make).
- Strong analytical skills in evaluating the impact of AI solutions on design quality, performance, and productivity.
- Excellent communication skills and the ability to work cross-functionally in a fast-paced environment.
- Self-motivation, attention to detail, and a track record of delivering robust solutions to production.
- Demonstrated experience deploying AI/ML models in production VLSI CAD environments.
- Contributions to open-source AI/EDA projects or publications in relevant conferences/journals.
- Deep understanding of VLSI design challenges-such as timing closure, power optimization, or yield enhancement-and how AI can address them.
- Experience with cloud-based or distributed compute environments for large-scale AI training and inference.
- Strong ownership, curiosity, and a passion for continuous learning and innovation.
JR1997583
רוצה לראות עוד משרות מתאימות?
Jobify מנתחת את הניסיון התעסוקתי שלך ומציגה לך משרות עדכניות - בחינם!