AI / ML Intern for Computational Fluid Dynamics (6 months)

Cadence Design Systems, Inc. • United States, United States • 4d ago

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality.

Cadence customers are the world's most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Job Title: AI/ML Internship for CFD applications in automotive aerodynamics

Location: Brussels, Belgium

Duration: 6 months

Reports to: Software Engineering Director

Job Overview:

Computational Fluid Dynamics (CFD) is critical in engineering but expensive at industrial scales, especially for automotive applications. Emerging machine learning surrogates promise faster predictions; their strengths differ depending on data availability, physics constraints, and geometry complexity.

This AI/ML internship will benchmark data-only and physics-informed approaches for steady RANS external aerodynamics and evaluate whether adding global geometric @context to an existing surface prediction workflow improves results.

The goal of this work is to assess whether next-generation ML surrogates can significantly accelerate external aerodynamics workflows, enabling faster design exploration in the automotive sector.

Job Responsibilities:

You will work with existing high-quality CFD datasets, internal geometric-processing tools, and established ML experimentation frameworks to ensure a reproducible and well-supported workflow.

Survey the literature on machine-learning surrogates for steady RANS CFD, including physics-informed training and multi-scale geometric @context.

Set up datasets and baselines for a reproducible comparison across identical test cases.

Implement and train a data-driven surrogate for surface quantities.

Proto@type physics-informed training and compare against data-only setups.

Evaluate models across clearly defined metrics (accuracy, efficiency, physics compliance, robustness)

Deliverables :

Literature survey and design rationale.

Reproducible benchmarking repository (code, configs, scripts).

Technical report and slides summarizing results and recommendations.

Job Qualifications:

Master's or final-year bachelor's in mechanical or aerospace engineering, applied mathematics, computer science, or related

Strong Python and modern ML frameworks

Familiarity with CFD fundamentals (Navier-Stokes, RANS, turbulence concepts)

Experience with geometric data (meshes/point clouds/surfaces)

Additional Skills/Preferences:

Exposure to physics-informed ML or operator-style models

Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.

We're doing work that matters. Help us solve what others can't.

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Equal Employment Opportunity Policy:

Cadence is committed to equal employment opportunity throughout all levels of the organization.

Read the policy(opens in a new tab) (https://www.cadence.com/content/dam/cadence-www/global/en_US/documents/company/careers/equal-employment-opportunity-policy.pdf)

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.

Job Applicant If you are a job seeker creating a profile using our careers website, please see the privacy policy(opens in a new tab) (https://www.cadence.com/en_US/home/privacy/privacy-policy.html) .

E-Verify Cadence participates in the

E-Verify program in certain U.S. locations as required by law. Download More Information on E-Verify (64K) (https://www.cadence.com/content/dam/cadence-www/global/en_US/documents/company/careers/e-verify-participation-poster.pdf)

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.

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.

Cadence is committed to creating a diverse environment and 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.

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