Overview
On Site
Full Time
Skills
Software Engineering
Cadence Virtuoso
Electronics
Cadence
Computer Science
Data Science
Deep Learning
Natural Language Processing
Python
PyTorch
TensorFlow
Transformer
Vector Databases
Machine Learning Operations (ML Ops)
Evaluation
Optimization
Conflict Resolution
Problem Solving
Collaboration
Research and Development
Analytical Skill
Debugging
Rapid Prototyping
Open Source
Machine Learning (ML)
Artificial Intelligence
Research
Autogen
LangChain
Job Details
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 talented software engineers to join our team and contribute to the continued growth and success of Virtuoso, one of Cadence's most successful products.
Your work will have a significant impact on the future of smart technology. You'll be contributing to the foundation on which our customers are building today's artificial intelligence innovations, smart devices and self-driving cars. You are not a number at Cadence -- we encourage your innovative experience, independence and freedom to use your skills to make a difference.
Basic Requirements:
Educational Background
Technical Skills
Development & Deployment
Problem-Solving & Collaboration
Bonus Skills (Nice to Have)
The Cadence Virtuoso platform powers all of the latest design innovations in consumer, mobile, and enterprise electronics worldwide. We are looking for talented software engineers to join our team and contribute to the continued growth and success of Virtuoso, one of Cadence's most successful products.
Your work will have a significant impact on the future of smart technology. You'll be contributing to the foundation on which our customers are building today's artificial intelligence innovations, smart devices and self-driving cars. You are not a number at Cadence -- we encourage your innovative experience, independence and freedom to use your skills to make a difference.
Basic Requirements:
Educational Background
- Pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong foundation in machine learning, deep learning, and natural language processing (NLP).
Technical Skills
- Proficiency in Python and experience with frameworks like PyTorch or TensorFlow.
- Familiarity with transformer architectures (e.g., LLaMA, GPT, Mistral).
- Experience with fine-tuning and deploying LLMs using LoRA, PEFT, or similar techniques.
- Understanding of reinforcement learning (RL) concepts, including RLHF and offline RL.
- Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases (e.g., Weaviate, FAISS).
Development & Deployment
- Comfortable working with LLM APIs and integrating them into applications.
- Knowledge of MLOps best practices, including model evaluation, logging, and monitoring.
- Experience with model merging techniques for optimizing LLM performance.
- Exposure to optimization techniques such as quantization and distillation is a plus.
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.
Bonus Skills (Nice to Have)
- Experience contributing to AI research papers, hackathons, or Kaggle competitions.
- Understanding of agentic frameworks like AutoGen or LangChain.
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.