If you are an individual who enjoys an exciting, fast-moving environment and daily technical challenges as much as we do, this role will be a great fit for you. We are currently looking for an LLM/ML engineer who will be a key contributor in building scalable and resilient Agentic AI solutions.
Key Qualifications
- Advanced experience working with core EDA, LLM/ML or data analytics, such as Langchain, Spark, Pytorch, Tensorflow etc.
- Able to translate requirements into both high-level and detailed architectures
- Understanding of AI/ML fundamentals
- In-depth understanding of data structures, algorithms, and distributed systems
- Development experience in Python, C++ or similar programming languages
- Enthusiastic, highly motivated, and able to work collaboratively
- In-depth understanding of various technologies and frameworks with ability to combine into practical solutions
- Hands-on experience of building agentic AI solutions is a plus
Education & Experience
- BS degree in Computer Science, Electrical Engineering or related fields, 3+ years of industry experience
- MS degree in Computer Science, Electrical Engineering or related fields
The annual salary range for California is $101,500 to $188,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
We’re doing work that matters. Help us solve what others can’t.Skills Required
- Advanced experience with core EDA, LLM/ML or data analytics (e.g., Langchain, Spark, PyTorch, TensorFlow)
- Ability to translate requirements into high-level and detailed architectures
- Understanding of AI/ML fundamentals
- In-depth understanding of data structures, algorithms, and distributed systems
- Development experience in Python, C++ or similar programming languages
- Enthusiastic, highly motivated, and able to work collaboratively
- In-depth understanding of various technologies and frameworks with ability to combine into practical solutions
- Hands-on experience building agentic AI solutions
- BS degree in Computer Science, Electrical Engineering or related fields and 3+ years industry experience
- MS degree in Computer Science, Electrical Engineering or related fields
Cadence Design Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cadence Design Systems and has not been reviewed or approved by Cadence Design Systems.
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Equity Value & Accessibility — A discounted ESPP with a lookback feature and equity included in total compensation make ownership broadly accessible and potentially meaningful. Structured compensation at an industry leader adds predictability to equity participation.
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Healthcare Strength — Medical, dental, and vision coverage are described as solid, with mental‑health/EAP and fertility support enhancing the offering. The breadth across core care and family‑building needs strengthens the healthcare package.
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Leave & Time Off Breadth — Global Recharge Days, volunteer time off, and companywide breaks indicate a comprehensive time‑off framework. In addition, many salaried roles are described as having flexible or generous PTO policies.
Cadence Design Systems Insights
What We Do
Cadence enables electronic systems and semiconductor companies to create the innovative end products that are transforming the way people live, work and play. Cadence® software, hardware and IP are used by customers to deliver products to market faster. The company's Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to intelligent systems—in mobile, consumer, cloud, data center, automotive, aerospace, IoT, industrial and other market segments. Cadence is listed as one of Fortune Magazine's 100 Best Companies to Work For.
