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Internship Cfd Engineer Jobs in California (NOW HIRING)

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Internship Cfd Engineer information

What is the difference between Internship Cfd Engineer vs Mechanical Engineering Intern?

AspectInternship Cfd EngineerMechanical Engineering Intern
Required CredentialsRelevant coursework, basic knowledge of CFD softwareMechanical engineering coursework, basic engineering principles
Work EnvironmentEngineering teams, simulation labs, software-focused tasksDesign labs, manufacturing settings, general engineering projects
Industry UsageAutomotive, aerospace, energy sectors with CFD focusManufacturing, product design, general engineering sectors

The main difference is that an Internship Cfd Engineer focuses on computational fluid dynamics simulations within engineering projects, often requiring knowledge of CFD software. A Mechanical Engineering Intern has a broader scope, working on various mechanical design and analysis tasks. Both roles provide valuable industry experience but differ in technical focus and daily responsibilities.

What are the most commonly searched types of Cfd Engineer jobs in California? The most popular types of Cfd Engineer jobs in California are:
What are popular job titles related to Internship Cfd Engineer jobs in California? For Internship Cfd Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Cfd Engineer jobs in California look for? The top searched job categories for Internship Cfd Engineer jobs in California are:
What cities in California are hiring for Internship Cfd Engineer jobs? Cities in California with the most Internship Cfd Engineer job openings:
Internship Cfd Engineer jobs near you
Infographic showing various Internship Cfd Engineer job openings in California as of July 2026, with employment types broken down into 10% Internship, and 90% Full Time. Highlights an 96% In-person, and 4% Hybrid job distribution.

Senior Math Libraries Engineer - Sparse Linear Algebra

NVIDIA

Santa Clara, CA • On-site

$55K - $72K/yr

Full-time

Re-posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA is a leading technology company known for its innovations in AI and high-performance computing. They are seeking a Senior Math Libraries Engineer to design, develop, and optimize numerical sparse linear algebra software for GPU architectures, collaborating with various teams to enhance library quality and performance.
Responsibilities:
• Designing, implementing and optimizing scalable high-performance numerical sparse linear algebra software for existing and future GPU architectures
• Working with library engineers, QA engineers, and interns on topics ranging from sparse BLAS operations to advanced direct and iterative sparse solvers
• Working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries
• Finding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices
Qualifications:
Required:
• PhD or MSc degree (or equivalent experience) in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field is preferred
• 5+ years of overall experience in developing, debugging and optimizing high-performance sparse linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads, or equivalent technologies
• Strong fundamentals in floating point arithmetic and implementation of sparse linear algebra primitives like matrix-vector and matrix-matrix products
• Experience in developing, maintaining, and testing sparse linear algebra libraries
• Strong collaboration, communication, and documentation habits.
Preferred:
• Good knowledge of CPU and/or GPU hardware architecture and low-level GPU performance optimization
• Familiarity with technologies such as multi-frontal factorizations, iterative solvers, preconditioners, and algebraic multigrid
• Experience with adopting and advancing software development practices such as CI/CD systems and project management tools such as JIRA
• Understanding of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)
• Working experience in a globally distributed and agile organization
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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