Principal Solutions Engineer – Generative AI and Deep Learning

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You are a visionary in the AI and machine learning space, with a passion for pushing the boundaries of technology. With an advanced degree in Science or Engineering and over 5 years of experience in diverse scientific and technological domains, you bring a unique blend of expertise. You have a proven track record in applying machine learning and AI methods to solve complex problems, particularly in corporate applications.

Proficient in programming languages like Python, you have a solid grasp of data structures and algorithms, especially those found in generative AI applications. Your experience with Large Language Models (LLMs), Generative Pre-trained Transformers (GPT), and other generative AI techniques stands out. You excel in both independent and collaborative environments, demonstrating strong problem-solving skills. Your excellent communication and presentation abilities allow you to convey complex technical concepts to a wide range of stakeholders.

You are adept at data cleansing and modeling for deep learning in domains such as language, image, or graphs, and you have hands-on experience with cloud-based machine learning platforms like AWS, Google Cloud Platform, or Azure. Your deep understanding of AI trends and experience with frameworks like Tensor Flow or PyTorch make you a valuable asset to any team.

• Architecting Generative AI and Deep Learning applications tailored to internal corporate functions such as HR, Finance, Legal, and other departments.
• Conducting experiments to evaluate model performance, identifying areas for improvement, and implementing optimizations to meet corporate function needs.
• Collaborating with cross-functional teams to design and develop scalable AI solutions that align with internal business objectives.
• Participating in generative AI platform teams to ensure alignment with application requirements, deployment models, and release timelines for corporate functions.
• Communicating complex technical concepts and findings to both technical and non-technical stakeholders within the organization.
• Leading solution architecture reviews, platform alignment, and deployment models for generative AI applications tailored to internal corporate functions.
• Driving innovation in new generative AI approaches and staying up-to-date on the latest research in the field, specifically for enterprise applications.

• Enhancing the organization’s capabilities in AI and machine learning, directly contributing to improved efficiency and effectiveness in internal corporate functions.
• Improving the efficiency and performance of internal processes through advanced AI techniques.
• Shaping the future of corporate methodologies with cutting-edge generative AI solutions.
• Enabling the development of high-performance AI applications that streamline HR, Finance, Legal, and other internal processes.
• Contributing to strategic goals with a direct impact on department results and overall organizational efficiency.
• Leading initiatives that push the boundaries of technological innovation and execution excellence within the corporate environment.

• Advanced degree in Science or Engineering with 8 years of experience in diverse scientific and technological domains.
• 5 years of experience applying machine learning and AI methods to corporate or business problems.
• Proficiency in Python and a solid background in data structures and algorithms.
• Experience with LLMs, GPT models, and other generative AI techniques.
• Strong problem-solving skills and the ability to work both independently and collaboratively.
• Excellent communication and presentation skills.
• Hands-on experience in data cleansing and modeling for deep learning models in at least one corporate…