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Seasonal Ai Math Analyst Jobs in California (NOW HIRING)

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Seasonal Ai Math Analyst information

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

AspectSeasonal Ai Math AnalystData Scientist
Required CredentialsBachelor's in Math, Statistics, or related field; some roles may prefer certifications in AI or data analysisBachelor's or higher in Computer Science, Statistics, or related; often requires advanced certifications or degrees
Work EnvironmentSeasonal projects, often in retail, finance, or e-commerce sectors; project-based rolesFull-time, diverse industries including tech, finance, healthcare; research and development focus
Employer & Industry UsageUsed by companies needing seasonal data analysis and AI modeling for specific periodsWidely used across industries for ongoing data analysis, predictive modeling, and AI development

In summary, Seasonal Ai Math Analysts focus on short-term, seasonal AI and data analysis projects, often requiring specific certifications and working in project-based environments. Data Scientists typically hold higher qualifications, work full-time across various industries, and engage in continuous data modeling and AI research.

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

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

Seasonal Ai Math Analyst jobs near you

Senior AI and Quant DevTech Engineer

NVIDIA Gruppe

Santa Clara, CA • On-site

$152 - $287.50/hr

Other

This job post has expired today. Applications are no longer accepted.

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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