Description
This internship provides an excellent prospect for graduate or postgraduate students to sharpen their Data Science/Machine Learning skills by working on real projects. The project involves working on Big Data Analytics and using ML to drive diagnostics in Chip Design Domain.- You are pursuing or have a strong interest in computer science academic courses of study in machine learning or data science
You have some experience with machine learning software packages
Solid skills in Python, Pandas, Apache Spark Compute framework, Dask
Working knowledge of ML packages like Scikit-learn, SciPy, TensorFlow, etc
Requirements:
Graduate student (B.Tech./M.Tech/MS/ME)
Excellent programming skills in Python/JS.
Working knowledge of SW Quality and testing.
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 share our passion for innovation, we want to meet you.
Our Silicon Design & Verification business 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 significant to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.