General Information







Job Title


Principal AI Engineer




Job ID


5876




City


US (non-CA) Off-Site




State/Province


US (non-CA) Off-Site Office




Date Posted


11-Sep-2024




Job Category


Engineering




Job Subcategory


AI




Hire Type


Employee




Remote Eligible


Yes




Base Salary Range: $171000 - $257000


Descriptions & Requirements







Job Description and Requirements


Job Title: Principal Solutions Engineer - Generative AI and Deep LearningWe 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 visionary in the AI and machine learning space, with a passion for pushing the boundaries of technology. With a PhD 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 engineering problems, particularly in hardware design and electronic design automation (EDA) methodologies. Proficient in programming languages like Python, you have a solid grasp of data structures and algorithms. 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, GCP, or Azure. Your deep understanding of AI trends and experience with frameworks like TensorFlow or PyTorch make you a valuable asset to any team.What You’ll Be Doing:Architecting Generative AI and Deep Learning applications tailored to hardware design challenges.Conducting experiments to evaluate model performance, identifying areas for improvement, and implementing optimizations.Collaborating with cross-functional teams to design and develop scalable solutions that align with business objectives.Participating in generative AI platform teams to ensure alignment with application requirements, deployment models, and release timelines.Communicating complex technical concepts and findings to both technical and non-technical stakeholders.Leading solution architecture reviews, platform alignment, and deployment models for generative AI applications.Driving innovation in new generative AI approaches and staying up-to-date on the latest research in the field.The Impact You Will Have:Enhancing Synopsys' capabilities in AI and machine learning, directly contributing to our leadership in the technology sector.Improving the efficiency and performance of hardware design through advanced AI techniques.Shaping the future of EDA methodologies with cutting-edge generative AI solutions.Enabling the development of high-performance silicon chips and software content.Contributing to strategic goals with a direct impact on department results.Leading initiatives that push the boundaries of technological innovation and execution excellence.What You’ll Need:PhD in Science or Engineering with 5+ years of experience in diverse scientific and technological domains.1+ years of experience applying machine learning and AI methods to engineering 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 domain.Experience with cloud-based machine learning platforms such as AWS, GCP, or Azure.Who You Are:A visionary leader in AI and machine learning.A collaborative team player and an independent problem-solver.An excellent communicator capable of translating complex technical concepts for diverse audiences.A continuous learner who stays updated with the latest advancements in AI and machine learning.A proactive innovator who drives technological progress.The Team You’ll Be a Part Of:You will join a dynamic team dedicated to pioneering advancements in AI and machine learning. Our team focuses on developing scalable solutions that drive the future of hardware design and EDA methodologies. We collaborate closely with cross-functional teams to ensure our innovations align with business objectives and lead the way in technological excellence.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.Inclusion and Diversity: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. 
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.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.