At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
The Cadence Digital and Signoff Group Machine learning team is a high energy team which explores and implements Deep Machine Learning techniques and Agentic frameworks to Electronic Design Automation [EDA] tools.
We are looking for exceptional individuals skilled in Agentic frameworks, ML and Deep-Learning algorithms and application development. In addition, we desire a team player with excellent communication skills who is as comfortable discussing Deep Learning research as with developing APIs to innovative new software.
Primary responsibilities include designing Agentic workflows, gradient based and gradient free optimization algorithms, researching and developing Machine Learning approaches to problems in the EDA and system design, as well as designing, implementing, verifying, and maintaining software to address those markets. The ability to interact with a worldwide cross-functional team and collaborate productively is a necessity. A strong software engineering background is mandatory with emphasis on C/C++, Python, Linux-based development, and ML/DL frameworks like PyTorch + LLM/Agentic AI understanding.
The annual salary range for California is $101,500 to $188,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: CADENCE
- Position Id: 856ae9a2107d7d34a26e74eb2eae49bc
- Posted 10 hours ago
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