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Ai Math Analyst information

What is an AI math analyst?

An AI Math Analyst applies mathematical concepts, statistics, and algorithms to develop and optimize AI models. They analyze data, design predictive models, and ensure mathematical accuracy in machine learning applications. Their work often involves linear algebra, calculus, probability, and optimization techniques to enhance AI performance.

What skills and qualifications are needed to be an AI math analyst?

To thrive as an AI Math Analyst, you need a strong background in mathematics, statistics, machine learning, and programming (commonly Python or R), often supported by a relevant degree in mathematics, computer science, or a related field. Familiarity with tools such as TensorFlow, PyTorch, MATLAB, and data visualization platforms, along with certifications in data science or AI, is highly beneficial. Analytical thinking, problem-solving, effective communication, and collaboration are essential soft skills that help you interpret complex data and share actionable insights. These abilities are crucial for successfully analyzing large datasets, building AI models, and contributing valuable mathematical insights to cross-functional teams.

What challenges does an AI math analyst face in their daily work?

AI Math Analysts frequently work with large, complex datasets that may require extensive cleaning and preprocessing, which can be both time-consuming and technically challenging. They must balance the need for mathematical accuracy with the practical constraints of computational resources and project deadlines. Collaborating with data scientists, engineers, and business stakeholders is common, so the ability to translate complex mathematical concepts into actionable strategies is essential. Overcoming these challenges can be highly rewarding, as it directly contributes to the development and optimization of innovative AI systems.

What are the most commonly searched types of Ai Math Analyst jobs in California?

The most popular types of Ai Math Analyst jobs in California are:

What are popular job titles related to Ai Math Analyst jobs in California?

For Ai Math Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Math Analyst jobs in California look for?

The top searched job categories for Ai Math Analyst jobs in California are:

What cities in California are hiring for Ai Math Analyst jobs?

Cities in California with the most Ai Math Analyst job openings:

Ai Math Analyst jobs near you
Infographic showing various Ai Math Analyst job openings in California as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Senior AI and Quant DevTech Engineer

NVIDIA Gruppe

Santa Clara, CA • On-site

$152 - $287.50/hr

Other

Posted 12 days ago

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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