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Internship Numerical Methods Jobs in California (NOW HIRING)

Rosenxt

Sensor Engineer

San Luis Obispo, CA · On-site

Strong foundation in applied mathematics, including linear algebra, numerical methods and ... in industry or internship * Problem solving skills * Self-motivation, and attention to detail

Rosennxt

Sensor Engineer

San Luis Obispo, CA

Strong foundation in applied mathematics, including linear algebra, numerical methods and ... in industry or internship * Problem solving skills * Self-motivation, and attention to detail

Council on American-Islamic Relations

Internship

Anaheim, CA · On-site

$15.75 - $21/hr

Interns will assist in researching methods for donor growth and stewardship. Policy & Advocacy: The ... NOTE: Due to the number of applications received, only those selected for an interview will be ...

CAIR LA

Internship

Anaheim, CA · On-site

$15.75 - $21/hr

Interns will assist in researching methods for donor growth and stewardship. Policy & Advocacy: The ... NOTE: Due to the number of applications received, only those selected for an interview will be ...

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All JobsNumerical Methods JobsInternship Numerical Methods JobsInternship Numerical Methods Jobs in California

Internship Numerical Methods information

What are the key skills and qualifications needed to thrive as an intern in Numerical Methods, and why are they important?

To thrive as an intern in Numerical Methods, you need a solid understanding of mathematics, computational modeling, and problem-solving, typically supported by coursework in applied mathematics, engineering, or computer science. Familiarity with programming languages like Python or MATLAB and exposure to numerical analysis software are often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are crucial for accurately solving complex numerical problems and contributing to research or engineering projects.

What is the difference between Internship Numerical Methods vs Data Analyst?

AspectInternship Numerical MethodsData Analyst
Required CredentialsBasic knowledge of mathematics, programming, and numerical algorithmsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentInternship setting, often in research or technical teamsOffice environment, working with data sets and reporting tools
Employer & Industry UsageResearch institutions, engineering firms, tech companiesBusiness, finance, healthcare, marketing sectors
Search & Comparison IntentUnderstanding entry-level roles in numerical computationExploring data analysis careers and skills

Internship Numerical Methods focuses on applying mathematical and computational techniques to solve problems, often in research or technical settings. Data Analyst roles involve interpreting data, creating reports, and supporting decision-making in various industries. While both require analytical skills, internships emphasize learning and applying numerical algorithms, whereas data analysts focus on data interpretation and visualization.

What are internship numerical methods?

Internship numerical methods refer to internships focused on applying mathematical techniques and algorithms to solve real-world problems using numerical computations. These internships typically involve working with numerical analysis, modeling, simulation, and programming to analyze data or solve engineering and scientific problems. Interns may use tools like MATLAB, Python, or specialized software to implement and test numerical algorithms under the guidance of professionals. Such internships are valuable for students in mathematics, engineering, physics, or computer science, offering practical experience in computational problem-solving.

What types of projects can an intern expect to work on during a Numerical Methods internship?

As a Numerical Methods intern, you can expect to work on projects involving the development, implementation, and testing of algorithms for solving mathematical problems—such as differential equations, optimization, or data analysis tasks. You may collaborate with engineers or researchers to improve computational models, validate results, or optimize code for efficiency. These projects often require a mix of programming (commonly in Python, MATLAB, or C++), mathematical analysis, and teamwork. This hands-on experience is valuable for building problem-solving skills and gaining exposure to real-world applications of numerical techniques.
What are the most commonly searched types of Numerical Methods jobs in California? The most popular types of Numerical Methods jobs in California are:
What are popular job titles related to Internship Numerical Methods jobs in California? For Internship Numerical Methods jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Numerical Methods jobs in California look for? The top searched job categories for Internship Numerical Methods jobs in California are:
What cities in California are hiring for Internship Numerical Methods jobs? Cities in California with the most Internship Numerical Methods job openings:
Internship Numerical Methods jobs near you
Infographic showing various Internship Numerical Methods job openings in California as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 70% Full Time, 19% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Senior Research Scientist, AI Accelerator Design and VLSI

Senior Research Scientist, AI Accelerator Design and VLSI

Nvidia Corporation

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Re-posted 3 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

We are now looking for a Senior Research Scientist!
NVIDIA is seeking a Senior Research Scientist to drive groundbreaking research at the intersection of AI HW/SW Co-Design, AI Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design. Ideal candidates will have a broad perspective across areas including machine learning fundamentals, quantization and numerical methods for machine learning model optimization, digital VLSI circuits for computer arithmetic, high-productivity VLSI design and verification methodologies including applications of generative AI to hardware design, AI hardware micro-architecture, and VLSI methodology and implementation.
What you'll be doing:
  • AI Accelerator Hardware: Contribute to novel research advancing the state-of-the-art in AI accelerator design.
  • VLSI: Research creative and innovative ASIC and VLSI design techniques and/or novel digital VLSI circuits. Apply machine learning, generative AI, and state-of-the-art tools and methodologies to automated ASIC and VLSI design tool flows.
  • AI HW/SW Co-Design: Research and develop creative and innovative numerical methods for quantization, sparsity, or tensor decomposition grounded in computer arithmetic fundamentals and digital VLSI circuits.
  • Collaborate on the development of research prototype testchips.
  • Collaborate with AI researchers and hardware team members in research and product teams.
  • Publish and present your original research, speak at conferences and events

What we need to see:
  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with 3+ years of post-PhD research experience and a strong record of impactful publications in top circuit, architecture, EDA, or AI/ML venues; with a proven ability to set research direction and translate ideas into tools or products.
  • Domain & Technical Expertise: Deep knowledge and 3+ years of post-PhD research experience in either VLSI (e.g., digital VLSI circuits and chip design methodologies), computer architecture, and/or numerical algorithms for AI model HW/SW co-design.
  • VLSI Implementation Skills: 5+ years of experience in hardware design with proficiency with modern EDA tool flows.
  • Programming & Systems Skills: 5+ years of experience in software tool development with proficiency in at least two of Python/PyTorch, C++, SystemVerilog, or CUDA.
  • Leadership & Collaboration: experience in leading research projects or teams, with a track record of mentoring junior scientists or interns, driving cross-functional initiatives with circuits/VLSI/architecture groups, and fostering collaborations with academia or industry.
  • Communication & Impact: Excellent written and verbal communication skills, with demonstrated experience presenting at top conferences; ability to influence both technical and non-technical audiences.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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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