Cadence Design Systems is a world leader in providing computational software for all aspects of intelligent system design. 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. The candidate should have a PhD 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.)
- Facility with classical methods of statistical inference
- Demonstrated ability to reduce algorithms and theoretical knowledge to practice and produce innovative research results
- Demonstrated programming proficiency in Python/C++.
- 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 e.g. physics-informed neural networks, neural operator theory, DeepONets is a plus.
- 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.
Candidate should expect to work with a cross-functional engineering team to perform cutting-edge research but ultimately deliver innovative technologies in a production environment.
We’re doing work that matters. Help us solve what others can’t.Skills Required
- PhD in computer science or related field
- Demonstrated expertise in neural networks/deep learning
- Programming proficiency in Python/C++
- Familiarity with machine learning frameworks such as PyTorch, TensorFlow
- Strong computer science background
Cadence Design Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cadence Design Systems and has not been reviewed or approved by Cadence Design Systems.
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Equity Value & Accessibility — A discounted ESPP with a lookback feature and equity included in total compensation make ownership broadly accessible and potentially meaningful. Structured compensation at an industry leader adds predictability to equity participation.
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Healthcare Strength — Medical, dental, and vision coverage are described as solid, with mental‑health/EAP and fertility support enhancing the offering. The breadth across core care and family‑building needs strengthens the healthcare package.
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Leave & Time Off Breadth — Global Recharge Days, volunteer time off, and companywide breaks indicate a comprehensive time‑off framework. In addition, many salaried roles are described as having flexible or generous PTO policies.
Cadence Design Systems Insights
What We Do
Cadence enables electronic systems and semiconductor companies to create the innovative end products that are transforming the way people live, work and play. Cadence® software, hardware and IP are used by customers to deliver products to market faster. The company's Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to intelligent systems—in mobile, consumer, cloud, data center, automotive, aerospace, IoT, industrial and other market segments. Cadence is listed as one of Fortune Magazine's 100 Best Companies to Work For.
