Sr. AI Engineer

General Information

Job Title Sr. AI Engineer Job ID 15190 City Sunnyvale State/Province California Date Posted 09-Feb-2026 Job Category Engineering Job Subcategory R&D Engineering Hire Type Employee Remote Eligible No Base Salary Range: $165000 - $248000

Descriptions & Requirements

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 to transform the future through continuous technological innovation. 

 

You Are: 

An experienced AI engineer skilled in solving complex problems and building scalable solutions. You boost productivity across teams with strong technical knowledge of Linux, Python, SQL, Machine learning, generative AI and tools like Github, Grafana, Kibana, Pycharm, and VS Code. You excel at collaborating with cross-functional teams to develop agentic workflows. Your analytical mindset allows you to identify bottlenecks, optimize product operations and implement agentic workflows for autonomous regression analysis. You are committed to continuous improvement, leveraging data insights to enhance system performance and reliability.  

Your communication skills foster inclusive and effective teamwork, and your adaptability ensures success in a dynamic, fast-paced environment. You are motivated by the opportunity to shape cutting-edge technologies and make a meaningful impact on the future of silicon design and verification. 

 

What You’ll Be Doing: 

 

• Develop agentic workflows to enable autonomous tasks such as regression analysis and system monitoring. 
• Design, develop, troubleshoot, and debug software programs for enhancements and new product initiatives. 
• Re-design and develop existing applications to support scalable R&D productivity solutions and cloud readiness across Synopsys teams. 
• Troubleshoot, debug, and provide ongoing support for software tools used in emulation labs and internal hardware systems. 
• Develop and maintain software tools for efficient scheduling of jobs on internal hardware platforms. 
• Scale emulation lab operations through process improvements and advanced tooling, optimizing performance and reliability. 
• Run benchmark test cases, analyze test results data, and identify spurious or bottleneck test cases to enhance system efficiency. 

 

The Impact You Will Have: 

 

• Accelerate R&D productivity by delivering scalable software solutions and automation tools across all Synopsys groups. 
• Enhance the efficiency of emulation lab operations, enabling faster innovation cycles and improved testing outcomes. 
• Reduce operational bottlenecks through insightful data analysis and targeted process improvements. 
• Empower IT and engineering teams with automated workflows, freeing up resources for strategic initiatives. 
• Contribute to the reliability and robustness of internal hardware systems, supporting the development of industry-leading silicon solutions. 
• Support the continuous evolution of software tools, maintaining Synopsys’ leadership in chip design and verification technology. 

 

What You’ll Need: 

 

This position requires access to or use of information which is subject to export restrictions, including the International Traffic in Arms Regulations (ITAR). All applicants for this position must be "U.S. Persons" within the meaning of the ITAR. "U.S. Persons" include U.S. Citizens, U.S. Lawful Permanent Residents (i.e. 'Green Card Holders'), Political Asylees, Refugees or other protected individuals as defined by 8 U.S.C. 1324b(a)(3)’. 

 

• Requires 8+ years of related work experience plus master’s degree or equivalent. 
• Expertise in machine learning, developing agentic workflows. 
• Strong proficiency in Linux environments and production deployment processes. 
• Advanced skills in Python, SQL, and Bash scripting for software development and automation. 
• Expertise with ElasticSearch, LSF, Unix, Influx DB, and related technologies. 
• Familiarity with Github, Grafana, PostgreSQL, Kibana, Pycharm, and VS Code. 

 

Who You Are: 

 

• Innovative thinker with a proactive approach to problem solving. 
• Collaborative team player with strong communication and interpersonal skills. 
• Analytical and detail-oriented, able to interpret complex data and drive actionable insights. 
• Adaptable and open to learning new technologies and methodologies. 
• Committed to delivering high-quality results in fast-paced, dynamic environments. 
• Inclusive and supportive, fostering an environment where diverse perspectives are valued. 

 

The Team You’ll Be A Part Of: 

You’ll join a high-impact R&D engineering team focused on developing and enhancing software tools that drive Synopsys’ productivity and innovation. The team collaborates closely with IT, hardware, and cloud specialists to scale operations, automate workflows, and ensure seamless integration across all groups. Together, you’ll contribute to the future of silicon design, verification, and emulation, propelling Synopsys’ leadership in 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. 

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, 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 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.