Senior Software Engineer
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Role details
Tech stack
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Requirements
- BS/MS/Phd in Computer Science, Applied Mathematics, Data Science, or a related field.
- 10+ years of experience.
- Strong foundation in machine learning, deep learning, and natural language processing (NLP) and LLM.
Technical Skills
- Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
- Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
- Comfortable working with LLM APIs and integrating them into applications.
- A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
- Proficiency in Python is essential. C++ also valuable.
- Domain knowledge in analog circuits design and layout, and VLSI design flow is preferred
Problem-Solving & Collaboration
- Ability to work in a fast-paced research and development environment.
- Strong analytical thinking and debugging skills.
- Experience with rapid prototyping in open-source AI/ML projects.
Benefits & conditions
The annual salary range for California is $154,000 to $286,000. 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.
About the company
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
The Cadence Virtuoso platform powers all of the latest design innovations in consumer, mobile and enterprise electronics worldwide. We are looking for a passionate software developer to join Virtuoso place and route infrastructure team and improve our place route foundation. We use advanced math, computer science, graph theory and machine learning to solve the routing problem.
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