Scientific Computing Intern

Cadence Design Systems

Mar 5, 2024

Applications are closed

Internship
Full-time
Off-cycle Internship
Software Engineering
San Jose

Requirements

The candidate be in an advanced degree program in computer science / applied mathematics / computational physics / electrical engineering and the following preferred skills:
Demonstrated expertise in theory and practice of neural networks / deep learning with working knowledge of contemporary topics (graph neural networks, attention mechanisms, transformer networks, reinforcement and transfer learning, etc.)
Demonstrated ability to reduce algorithms and theoretical knowledge to practice and produce innovative research results
Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Julia.
Strong computer science background is a plus.
Familiarity with recent research trends in physics-informed machine learning is a plus.
Familiarity with analog/custom circuit design methodologies and/or exposure to one or more application areas in scientific computing (computational electromagnetics, fluid dynamics, molecular dynamics, thermal analysis, electrical circuit simulation) and/or computational physics is a plus.

Responsibilities

Your role will be to bring machine learning/AI expertise to a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI

Cadence Design Systems

Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise.

Technology

Industry

1001-5000

Employees

1988

Founded Year

Mission & Purpose

Cadence is a pivotal leader in electronic systems design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to complete systems for the most dynamic market applications, including hyperscale computing, 5G communications, automotive, mobile, aerospace, consumer, industrial and healthcare. For eight years in a row, Fortune magazine has named Cadence one of the 100 Best Companies to Work For.