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Intern Ai Math Analyst Jobs in California (NOW HIRING)

DivcoWest

AI Intern

San Francisco, CA

$20 - $30/hr

Summary The AI Intern will join the Technology team to design and implement intelligent solutions ... Strong analytical and communication skills with the ability to translate technical ideas into ...

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Intern Ai Math Analyst information

What is the difference between Intern Ai Math Analyst vs Intern Data Scientist?

AspectIntern Ai Math AnalystIntern Data Scientist
Required CredentialsMath, Computer Science, or related field; some programming knowledgeStatistics, Computer Science, or related field; programming skills often required
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageAI development, machine learning projectsData analysis, predictive modeling, data-driven decision making

Intern Ai Math Analysts focus on applying mathematical models to AI projects, often involving machine learning algorithms. Intern Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require strong math and programming skills, Intern Ai Math Analysts are more specialized in AI and algorithms, whereas Intern Data Scientists emphasize data analysis and statistical methods.

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Senior AI and Quant DevTech Engineer

NVIDIA Gruppe

Santa Clara, CA • On-site

$152 - $287.50/hr

Other

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are looking for a software engineer with a strong background in parallel processing and GPU architecture to push the limits of performance at the intersection of AI, high‑performance computing, and financial markets. In this role, you will dive deep into parallel algorithms, GPUs, and sophisticated systems, identifying and eliminating bottlenecks to unlock the full power of the world’s most advanced processing hardware.

You will collaborate with top experts across industry and academia, influence next‑generation platforms, and share your insights with the global developer community.

What you will be doing:
  • Designing and developing groundbreaking techniques to accelerate high‑performance workloads at the intersection of AI, math, and financial systems.
  • Working hands‑on with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
  • Profiling and eliminating performance bottlenecks across the stack—from algorithms to kernels to system‑level behavior.
  • Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
  • Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.
What we need to see:
  • Strong hands‑on experience with CUDA and parallel programming.
  • Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
  • A Master’s or PhD in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field.
  • Fluency in C/C++ and a solid foundation in algorithms and software design.
  • 5+ years of relevant work or research experience.
  • Proven experience improving the performance of large‑scale computational applications on GPUs.
  • Excellent understanding of linear algebra.
  • Strong communication and organizational skills, with a logical approach to problem‑solving and solid prioritization abilities.
Ways to stand out from the crowd:
  • Experience with inference optimization techniques and deploying optimized AI models in production.
  • Experience with TensorRT, TensorRT‑LLM, and cuTile.
  • Experience parallelizing and optimizing machine learning methods such as decision trees, time‑series models, and Monte Carlo simulations.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD – 241,500 USD for Level 3, and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive 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.

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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

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