Jobs
Required Skills
Python
C++
AI
Machine Learning
Large Language Models
Deep Learning
Linux
Unix
AI/LLM Engineer
- EDA Ecosystem
About the Role
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
This position leads the design and development of AI‑driven capabilities, with a focus on large language models (LLMs) and their integration into Cadence's EDA ecosystem. The engineer will architect intelligent systems that enhance productivity, automate engineering tasks, and augment circuit simulation workflows. Experience with circuit simulation or SPICE‑related technologies is highly desirable. The role also includes guiding technical direction, mentoring junior engineers, and driving innovation across teams.
Responsibilities
- Lead development of AI/LLM‑based features and frameworks for EDA applications
- Architect scalable systems for model training, inference, and integration with existing tools
- Collaborate with simulation and analysis teams to incorporate AI into circuit design workflows
- Explore opportunities to enhance SPICE and related simulation technologies using AI
- Drive technical strategy, code quality, and best practices across the team
- Develop automation tools and scripts to improve internal R&D efficiency
Requirements
- Strong expertise in AI/ML, especially large language models, deep learning frameworks, and model deployment
- Proficiency in Python and C++
- Experience with Linux/Unix development environments
- Background in circuit simulation, SPICE, or EDA tools is a strong plus
- MS with 2+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields
- Excellent problem‑solving skills and ability to lead complex technical projects
- Strong communication skills and ability to collaborate across multiple teams
About Cadence
Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.
Equal Employment Opportunity
Cadence is committed to equal employment opportunity throughout all levels of the organization. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Additional Information
Accessibility: We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact staffing@cadence.com.
E-Verify: Cadence participates in the E-Verify program in certain U.S. locations as required by law.
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About Cadence

Cadence
PublicCadence Design Systems provides electronic design automation (EDA) software, hardware, and IP for designing and verifying electronic systems and semiconductors.
5,001-10,000
Employees
San Jose
Headquarters
Reviews
3.3
7 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.8
Career
2.0
Management
1.5
15%
Recommend to a Friend
Pros
Built strong client relationships
Useful for repetitive tasks
Employment opportunities
Cons
Poor management and micromanagement
Lack of career growth opportunities
Technical architecture and code quality issues
Salary Ranges
65 data points
Junior/L3
Junior/L3 · Data Analyst
1 reports
$91,103
total / year
Base
$85,276
Stock
-
Bonus
$5,827
$59,612
$139,984
Interview Experience
1 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Decision
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
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