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Cadence Machine Learning Jobs (NOW HIRING)

Cadence

Senior AI Engineer

Burlington, MA · On-site

$113K - $156K/yr

Cadence is a technology company focused on innovation and leadership. They are seeking a Senior AI Engineer to design and implement high-performance software and apply machine learning techniques to ...

Cadence

Senior AI Engineer

San Jose, CA · On-site

$122K - $168K/yr

Cadence is a technology company focused on innovation and leadership. They are seeking a Senior AI Engineer to design and implement high-performance software and apply machine learning techniques to ...

Apex Informatics

Senior Machine Learning Engineer

$107K - $146K/yr

... cadence required for maximum impact. • Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering. • Partner with data architecture, data governance ...

Cadence

Software Engineer II, ML

San Jose, CA · On-site

$114K - $156K/yr

Cadence is a technology company focused on developing leaders and innovators. They are seeking a Software Engineer II to work on Machine Learning techniques and Agentic frameworks for Electronic ...

Cadence Inc

Software Engineer II, ML

San Jose, CA

$101K - $188K/yr

Cadence Digital And Signoff Group Machine Learning Team The Cadence Digital and Signoff Group Machine learning team is a high energy team which explores and implements Deep Machine Learning ...

Apex Systems

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

... cadence required for maximum impact. Stay up to date with latest design patterns and AWS services ... respect to Machine Learning Engineering. Partner with data architecture, data governance, and ...

Cadence

AI Engineer

San Jose, CA · On-site

$101K - $188K/yr

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of ... We use advanced math, computer science, graph theory and machine learning to solve the routing ...

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of ...

Voltai, Inc

Machine Learning Engineer

Palo Alto, CA

We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of ...

Voltai, Inc

Machine Learning Engineer

Palo Alto, CA · On-site

We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of ...

Cadence

Senior AI Engineer

Burlington, MA

$98K - $182K/yr

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are looking for a talented Software Engineer with experience in Machine Learning. You ...

Cadence

Senior AI Engineer

San Jose, CA

$98K - $182K/yr

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are looking for a talented Software Engineer with experience in Machine Learning. You ...

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All JobsCadence Machine Learning Jobs

Cadence Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do cadence machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for cadence machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the typical collaboration dynamics between Cadence Machine Learning engineers and other teams within an organization?

Cadence Machine Learning engineers frequently collaborate with hardware design, software development, and product management teams to integrate machine learning models into electronic design automation (EDA) tools. This cross-functional teamwork ensures that ML solutions are both technically robust and aligned with customer needs. Regular communication, joint planning meetings, and shared project milestones help facilitate smooth integration and continuous improvement. Building strong relationships with these teams is key to successfully delivering machine learning features that enhance Cadence's product offerings.

What is a Cadence Machine Learning Engineer?

A Cadence Machine Learning Engineer is a professional who specializes in applying machine learning techniques and algorithms within Cadence Design Systems' suite of electronic design automation (EDA) tools. Their role typically involves developing, implementing, and optimizing machine learning models to improve processes such as chip design, verification, and testing. They work closely with hardware engineers and data scientists to automate tasks, enhance design accuracy, and increase efficiency in semiconductor development. This position requires a strong background in both machine learning and electronic design automation.

What are the key skills and qualifications needed to thrive as a Cadence Machine Learning Engineer, and why are they important?

To thrive as a Cadence Machine Learning Engineer, you need a solid background in machine learning algorithms, data analysis, and programming, typically supported by a degree in computer science, engineering, or a related field. Proficiency with Cadence EDA tools, Python, TensorFlow or PyTorch, and familiarity with hardware design and verification systems are commonly required. Exceptional problem-solving, communication, and teamwork skills help you translate complex ML models into practical solutions for electronic design automation. These abilities are crucial for developing innovative, efficient workflows that accelerate chip design and verification processes.

What is the difference between Cadence Machine Learning vs Cadence Data Scientist?

AspectCadence Machine LearningCadence Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentTech companies, R&D labs, product teams focusing on ML modelsBusiness analytics, data analysis, and model development in various industries
Employer & Industry UsageTechnology firms, semiconductor industry, embedded systemsFinance, healthcare, marketing, and tech sectors

Cadence Machine Learning specialists focus on developing and deploying ML models within embedded and hardware environments, often in tech and semiconductor industries. In contrast, Cadence Data Scientists analyze data to inform business decisions across various sectors. Both roles require strong analytical skills but differ in their focus on ML model development versus data analysis.

More about Cadence Machine Learning jobs
What states have the most Cadence Machine Learning jobs? States with the most job openings for Cadence Machine Learning jobs include:
What job categories do people searching Cadence Machine Learning jobs look for? The top searched job categories for Cadence Machine Learning jobs are:
Cadence Machine Learning jobs near you
Infographic showing various Cadence Machine Learning job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 87% Full Time, 3% Temporary, 6% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior AI Engineer

Senior AI Engineer

Cadence

Burlington, MA • On-site

$113K - $156K/yr

Full-time

Posted 26 days ago

Job description

Job Summary:
Cadence is a technology company focused on innovation and leadership. They are seeking a Senior AI Engineer to design and implement high-performance software and apply machine learning techniques to enhance electronic design automation.
Responsibilities:
• Design and implement high-performance software in C/C++
• Apply machine learning techniques to complex problems in analog design, layout, and design optimization
• Architect scalable solutions that balance performance, memory efficiency, and software quality
Qualifications:
Required:
• Strong programming skills in C/C++
• Solid foundation in data structures and algorithms
• Experience with machine learning techniques and framework
• Experience developing and debugging on Linux
• Ability to work independently while contributing effectively to a collaborative engineering team
• MS in EE/CS, or related field + 2 years of experience OR BS + 4 years of experience
Preferred:
• Previous experience in EDA is preferable
• Exposure to analog design is a big plus
Company:
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.

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