Staff AI Engineer

Synopsys Inc
Mountain View, CA Full Time
POSTED ON 9/5/2024 CLOSED ON 9/10/2024

What are the responsibilities and job description for the Staff AI Engineer position at Synopsys Inc?

Job Description And Requirements

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 at a unique moment in our company journey, as we transform the future through continuous technological innovation and pioneering advancements in AI.

You Are:

You are an enthusiastic and motivated AI Engineer with a foundational understanding of AI and ML theory and practices. With strong programming skills and a passion for learning, you are eager to design, develop, and deploy AI solutions. You thrive in a collaborative environment and are excited about the opportunity to work with seasoned developers on high-profile projects that have visibility at the highest levels of the company. You are proactive, detail-oriented, and possess excellent problem-solving abilities, making you a key player in advancing our AI capabilities and delivering cutting-edge technologies.

What You’ll Be Doing:

  • Designing, developing, and deploying AI and ML models and systems to solve complex business problems.
  • Collaborating with product managers, software engineers, and other stakeholders to define project requirements, create technical specifications, and ensure successful implementation of AI solutions.
  • Performing data analysis, data preprocessing, and feature engineering to prepare datasets for AI/ML models.
  • Training, validating, and fine-tuning AI/ML models, ensuring they meet performance and accuracy requirements.
  • Deploying AI models into production environments and monitoring their performance, making adjustments as necessary to maintain optimal operation.
  • Documenting AI models, algorithms, and methodologies to ensure reproducibility and knowledge sharing within the team.
  • Ensuring AI solutions adhere to ethical guidelines, data privacy regulations, and industry standards.

The Impact You Will Have:

  • Driving the development of advanced AI solutions that enhance our products and services.
  • Learning from and being mentored by seasoned developers, fostering a culture of innovation and continuous learning.
  • Collaborating with cross-functional teams to define and implement AI-focused roadmaps.
  • Improving existing systems and developing new solutions through cutting-edge AI technologies.
  • Ensuring the successful deployment and optimal operation of AI models in production environments.
  • Contributing to the advancement of our AI capabilities and maintaining our leadership in technology innovation.

What You’ll Need:

  • Master’s or PhD degree in Computer Science, Data Science, Electrical/Computer Engineering, or a related field.
  • 2 years of hands-on experience in AI and ML, with a demonstrated interest in deploying AI solutions in a production environment.
  • Proficiency in modern programming languages such as Python or Javascript.
  • Experience with AI/ML frameworks and libraries (e.g., LangChain, OpenAI, PyTorch, TensorFlow).
  • Understanding of statistical analysis, data mining, and data visualization techniques.
  • Familiarity with version control systems (e.g., GitHub) and software development methodologies (e.g., Agile, Scrum).
  • Knowledge of Electronic Design Automation (EDA) is a plus.

Who You Are:

  • Strong communication and interpersonal skills.
  • Eager to learn and grow in a dynamic environment.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a team.

The Team You’ll Be A Part Of:

You will be joining Synopsys’ Generative AI Center of Excellence, which defines the technology strategy to advance applications of Generative AI across the company. The GenAI COE pioneers the core technologies – platforms, processes, data, and foundation models – to enable generative AI solutions and partners with business groups and corporate functions to advance AI-focused roadmaps. Our teams are small, offering unique opportunities to work with bleeding-edge technologies and make a significant impact in a collaborative and innovative environment. You will have the chance to work on high-profile projects with visibility at the highest levels of the company.

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.

The base salary range across the U.S. for this role is between $131,000-$197,000 annually. In addition, 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.

Job Category

Engineering

Country

United States

Job Subcategory

AI

Hire Type

Employee

Base Salary Range

$131,000-187,000

Salary : $131,000 - $197,000

Staff Software Engineer, Backend
Interface AI -
San Jose, CA
Staff RTL Engineer, PCIe
Eridu AI -
Saratoga, CA
Staff Backend Engineer- Product
Luma AI -
Palo Alto, CA

For Employer
Looking for Real-time Job Posting Salary Data?
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Staff AI Engineer?

Sign up to receive alerts about other jobs on the Staff AI Engineer career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$77,687 - $95,323
Income Estimation: 
$101,118 - $123,790
Income Estimation: 
$101,118 - $123,790
Income Estimation: 
$118,722 - $151,504
Income Estimation: 
$118,722 - $151,504
Income Estimation: 
$149,103 - $192,473
Income Estimation: 
$149,103 - $192,473
Income Estimation: 
$184,310 - $232,611
Income Estimation: 
$77,687 - $95,323
Income Estimation: 
$101,118 - $123,790
This job has expired.
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at Synopsys Inc

Synopsys Inc
Hired Organization Address Durham, NC Full Time
Job Description And Requirements Cybersecurity Architect At SIG, Synopsys’ Software Integrity Group, we are enthusiastic...
Synopsys Inc
Hired Organization Address Mountain View, CA Full Time
We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the E...
Synopsys Inc
Hired Organization Address Sunnyvale, CA Full Time
You Are: You are a highly skilled and motivated software engineer with a passion for developing cutting-edge modeling so...
Synopsys Inc
Hired Organization Address Hillsboro, OR Full Time
Job Description And Requirements We’re looking for a Designware/Datapath R&D Engineer to join the team. Synopsys is hiri...

Not the job you're looking for? Here are some other Staff AI Engineer jobs in the Mountain View, CA area that may be a better fit.

Staff Software Engineer- Frontend

Luma AI, Palo Alto, CA

Staff Software Engineer, Perception

Latitude AI, Palo Alto, CA