Synopsys

• Design, develop, and deploy AI/GenAI and machine learning models, algorithms, and systems to solve complex business problems.
• Provide technical leadership and mentorship to junior engineers and data scientists, guiding them in best practices and advanced techniques.
• Stay up-to-date with the latest advancements in AI, GenAI, and machine learning technologies, and apply them to improve existing systems or develop new solutions.
• Work closely with program and product managers, software engineers, and other stakeholders to define project requirements, create technical specifications, and ensure successful implementation of AI solutions.
• Perform data analysis, data preprocessing, and feature engineering to prepare datasets for machine learning models.
• Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements.
• Deploy AI models into production environments and monitor their performance, making adjustments as necessary to maintain optimal operation.
• Document AI models, algorithms, and methodologies to ensure reproducibility and knowledge sharing within the team.
• Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and industry standards.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field. PhD is a plus.
• Minimum of 5 years of experience in SW/ML/GenAI, with a proven track record of deploying AI solutions in a production environment.
• Strong proficiency in programming languages such as Python or C++ and OOP.
• Very good understanding of data structures, algorithms, and design patterns.
• Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and LLM models.
• Strong understanding of statistical analysis, data mining, and data visualization techniques.
• Knowledge of cloud platforms and containerization.
• Familiarity with version control systems (e.g., Git, P4) and software development methodologies (e.g., Agile, Kanban, Scrum).
• Understanding or experience with semiconductor IPs and EDA tools is a big plus.

• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Proven leadership and mentorship abilities.

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.