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:

You are a highly skilled AI Solutions Engineer with a passion for generative AI and deep learning. With a PhD in Science or Engineering, you bring over 5 years of experience across diverse fields in science and technology. You have hands-on experience with machine learning and AI methods, particularly in engineering contexts, and are well-versed in hardware design and EDA methodologies. Your proficiency with Python, data structures, and algorithms, combined with your knowledge of LLMs and GPT models, makes you an ideal candidate for this role. You excel at problem-solving and thrive in both independent and collaborative environments. Your excellent communication skills enable you to convey complex technical concepts to various stakeholders effectively. Additionally, your familiarity with cloud-based machine learning platforms such as AWS, GCP, or Azure, and your experience in data cleansing and modeling for deep learning models, position you as a valuable asset to our team.

What You’ll Be Doing:

• Architect Generative AI and Deep Learning applications for hardware design.
• Evaluate and optimize model performance through rigorous experimentation.
• Collaborate with cross-functional teams to develop scalable AI solutions.
• Align with generative AI platform requirements and deployment models.
• Communicate technical concepts to both technical and non-technical stakeholders.
• Lead solution architecture reviews and drive innovative AI approaches.

The Impact You Will Have:

• Enhance hardware engineering efficiency through innovative AI applications.
• Develop foundational models for EDA applications.
• Streamline hardware design processes with cutting-edge AI solutions.
• Foster cross-functional collaboration for effective AI implementation.
• Drive the adoption of generative AI within Synopsys.

What You’ll Need:

• PhD in Science or Engineering with 5+ years of experience in diverse science and technology domains.
• 1+ years of experience applying machine learning and AI to engineering problems.
• Proficiency in Python, data structures, and algorithms.
• Experience with LLMs, GPT models, and other Generative AI techniques.
• Understanding of hardware design and EDA methodologies.

Preferred Qualifications:

• Experience with cloud-based machine learning platforms (AWS, GCP, Azure).
• Hands-on experience in data cleansing and modeling for deep learning.

Who You Are:

• Strong problem-solving abilities and a collaborative mindset.
• Excellent communicator, capable of conveying complex technical concepts to diverse audiences.
• You thrive both independently and in team settings, demonstrating flexibility and adaptability.
• Passionate about staying current with the latest research and advancements in generative AI and deep learning.
• You excel at creating innovative solutions and continuously seek opportunities to improve existing methods.
• Your ability to present technical ideas clearly and effectively makes you a valuable team member.
• You are committed to driving technological advancements and bridging the gap between research and practical applications.
• Your proactive nature and enthusiasm for learning make you a leader in adopting new technologies and methodologies.

The Team You’ll Be A Part Of:

You will be part of the Gen-AI Center of Excellence (CoE) team, a dynamic group focused on pioneering AI solutions for hardware design. This team collaborates across various functions to drive innovation and deliver scalable AI applications that meet Synopsys' business objectives. Your contributions will be integral to the team's success and the broader impact on the industry.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.