AI Engineer
Sunnyvale, California, United States Apply NowYou Are:
You are a passionate and driven individual with a degree in Computer Science, Computer Engineering, or Electrical Engineering. With a strong foundation in Artificial Intelligence algorithms and experience with large language models (LLMs), you are eager to apply your knowledge to real-world challenges. You have hands-on experience with general algorithms and coding in Python or JavaScript, and you thrive in collaborative environments where you can contribute to high-impact projects. Your keen analytical skills and innovative mindset enable you to assess and refine cutting-edge technologies, driving advancements in GenAI capabilities.
What You’ll Be Doing:
- Developing GenAI capabilities for multiple internal projects and collaborating with cross-functional teams.
- Providing a comprehensive review of the advantages and disadvantages of LLMs and pipelines for our GenAI Copilot initiatives.
- Evaluating the latest GenAI approaches for accuracy, runtime, scalability, limitations, and advantages.
- Refining proprietary data sets for improving our GenAI Copilot’s capabilities and reliability.
The Impact You Will Have:
- Enhancing the accuracy and efficiency of our GenAI Copilot initiatives.
- Contributing to the development of state-of-the-art GenAI technologies.
- Supporting the integration of advanced AI capabilities into Synopsys products.
- Providing valuable insights that will shape the future of AI at Synopsys.
- Collaborating with a team of experts to solve complex technical challenges.
What You’ll Need:
- Strong understanding of artificial intelligence algorithms.
- Hands-on experience with large language models (LLMs) and their applications to engineering problems.
- Proficiency in general algorithms and data structures.
- Advanced coding skills in Python or JavaScript.
- Currently pursuing or having a Master's or PhD in Computer Science, Computer Engineering, or Electrical Engineering.
Who You Are:
- Analytical and detail-oriented with a passion for innovation.
- Collaborative team player with excellent communication skills.
- Self-motivated and eager to learn and grow in a dynamic environment.
- Able to work independently with close supervision and detailed instructions.
- Adaptable and resourceful, with a strong problem-solving mindset.
The Team You’ll Be A Part Of:
You will be part of a dedicated team focused on advancing GenAI technologies and integrating them into Synopsys' products. Our team collaborates closely with various departments to drive innovation and ensure the successful implementation of cutting-edge AI solutions. You will have the opportunity to work alongside experienced professionals who are passionate about pushing the boundaries of technology and making a significant impact in the industry.
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.
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.
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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.
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