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Applied Math Jobs in California (NOW HIRING)

Apex Informatics

Data Engineer

Pleasanton, CA · On-site

$127K - $152K/yr

Bachelor's degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field. 3+ years of industry experience in Data Engineering 3+ ...

LinkedIn

Applied Scientist

Mountain View, CA · On-site +1

$120K - $195K/yr

Doctorate in Statistics, Biostatistics, Applied Mathematics, Engineering, Operations Research, Economics, Informatics, Computer Science, Data Science or related field. * BS and 2+ years of relevant ...

LinkedIn

Applied Scientist

Mountain View, CA · On-site

$120K - $195K/yr

Doctorate in Statistics, Biostatistics, Applied Mathematics, Engineering, Operations Research, Economics, Informatics, Computer Science, Data Science or related field. * BS and 2+ years of relevant ...

General Matter

Applied AI Engineer

Los Angeles, CA · On-site

$100K - $200K/yr

Basic Qualifications * BS or higher in engineering, physics, chemistry, applied math, or related technical field. * Proficiency in Python and software engineering fundamentals. * Experience building ...

Hop

Applied Data Scientist

San Francisco, CA · On-site

Required : • BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field. • 3-5 years of applied data science; minimum 2 years working with NLP or large-scale text data in ...

Hop

Applied Data Scientist

San Francisco, CA · On-site

Required : • BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field. • 3-5 years of applied data science; minimum 2 years working with NLP or large-scale text data in ...

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All JobsApplied Math JobsApplied Math Jobs in California

Applied Math information

See California salary details

$22.2K

$58.1K

$93.3K

How much do applied math jobs pay per year?

As of Sep 8, 2026, the average yearly pay for applied math in California is $58,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,400.00 and $69,100.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

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

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

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

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

What cities in California are hiring for Applied Math jobs?

Cities in California with the most Applied Math job openings:

Applied Math jobs near you
Infographic showing various Applied Math job openings in California as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $58,067 per year, or $27.9 per hour.

Senior Applied Machine Learning Engineer - VLSI Design

Nvidia

Santa Clara, CA • Hybrid

Full-time

Re-posted 22 days ago

Key responsibilities

  • Work within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.

  • Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions.

  • Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of them.

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

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. Our team builds AI-driven software systems for circuit design, combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. What you'll be doing: Work within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.

Work on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimization. Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions. Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.

Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of them. Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR. What we need to see: MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.

4+ years experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design is required. Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++. Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.

Ways to stand out from the crowd: Experience building AI systems for EDA, design automation, or circuit design workflows. Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems. Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.

Effective verbal/written communication and technical presentation skills. Self-starter with passion for growth, continuous learning, and sharing findings across the team. NVIDIA is a pioneer in bringing groundbreaking technology to new markets.

We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you. #LI-Hybrid 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 - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 16, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.

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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