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AI Solutions Developer

2 months ago

Mountain View, California, United States Synopsys Full time
About Synopsys

At Synopsys, we are a leading provider of electronic design automation (EDA) software and intellectual property (IP) solutions. Our technology is used by companies around the world to design and develop complex electronic systems, from semiconductors to software.

Job Summary

We are seeking a highly skilled and experienced AI Solutions Developer to join our team. As a key member of our AI research group, you will be responsible for designing and developing innovative AI solutions to enhance employee productivity and user experience.

Key Responsibilities
  • Design and develop internal and external products to improve employee productivity using Generative AI and CoPilot experiences.
  • Develop applications to enable simplified access to AI features across multiple domains.
  • Architect Generative AI and Deep Learning applications tailored to Custom Mixed Signal design challenges.
  • Conduct experiments to evaluate model performance, identify areas for improvement, and implement optimizations.
  • Collaborate with cross-functional teams to design and develop scalable solutions that align with business objectives.
  • Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
  • Drive innovation in new generative AI approaches and stay up-to-date on the latest research in the field.
The Impact You Will Have
  • Enhance employee productivity through innovative GenAI solutions.
  • Facilitate seamless integration of AI solutions into existing applications, improving overall user experience.
  • Ensure fast GenAI application prototyping through development infrastructure streamlining.
  • Lead the adoption of cutting-edge technologies and frameworks, setting new industry standards.
  • Drive the development of high-performance, scalable AI solutions that meet the evolving needs of the business.
  • Empower teams to leverage AI technologies effectively, fostering a culture of innovation.
Requirements
  • Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field.
  • 2+ years of experience applying machine learning and AI methods to engineering problems.
  • Strong foundation in Analog design is required.
  • 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.
About You
  • 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.
  • Proactive and able to work independently with minimal supervision.