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Applied Math Jobs in San Jose, CA (NOW HIRING)

Capital One

Applied Researcher I

San Francisco, CA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Capital One

Applied Researcher I

San Jose, CA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set ...

Capital One

Applied Researcher I

San Francisco, CA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher I

San Jose, CA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher I

San Francisco, CA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set ...

Hop

Applied Data Scientist

San Francisco, CA · On-site

What we require 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 ...

Capital One

Applied Researcher I

San Jose, CA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

Capital One

Applied Researcher I

San Jose, CA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Capital One

Applied Researcher I

San Jose, CA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Capital One

Applied Researcher I

San Francisco, CA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Capital One

Applied Researcher I

San Jose, CA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Hop

Applied Data Scientist

San Francisco, CA

What we require * 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 ...

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Showing results 41-60

All JobsApplied Math JobsApplied Math Jobs in San Jose, CA

Applied Math information

See San Jose, CA salary details

$26.4K

$69K

$110.8K

How much do applied math jobs pay per year?

As of Sep 4, 2026, the average yearly pay for applied math in San Jose, CA is $68,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,700.00 and $82,000.00 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 San Jose, CA?

For Applied Math jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in San Jose, CA look for?

The top searched job categories for Applied Math jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Applied Math jobs?

Cities near San Jose, CA with the most Applied Math job openings:

Applied Math jobs near you
Infographic showing various Applied Math job openings in San Jose, CA as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $68,957 per year, or $33.2 per hour.

Sensing HW - Algorithm Systems Engineer

Apple

San Francisco, CA • On-site

Full-time

Re-posted 25 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Sensing Architecture team develops cutting-edge sensor solutions and technologies that are central to Apple's products, including the iPhone, iPad, MacBooks, and more. The key goal of the Sensing Architecture team is to enable the world's best user experience through seamless device interactions. New challenges arise every day that require the sharp problem-solving skills of talented individuals. The team features a collaborative and hands-on environment that fosters engineering excellence, creativity, and innovation.
Description
You will be responsible for developing advanced sensing algorithms for future Apple products. This will involve algorithm prototyping, algorithm performance bounding and validation, and assessing sensor hardware and performance requirements. You will be designing new sensing algorithm architectures using a variety of techniques such as analytical modeling, ML methods, statistical signals processing, and classical algorithms/optimization methods to characterize and validate system performance. Development and negotiation of cross-functional requirements to ensure subsystem performance will be a key part of the role, and as such you will collaborate closely with Electrical Engineering and Firmware teams to create state-of-the-art sensor solutions.
Minimum Qualifications
Minimum requirement of a bachelors degree
Strong background in image/signal processing, estimation/inference, or machine learning
Strong engineering math background (e.g. applied linear algebra, probability)
Strong programming skills in high level languages like Python/Matlab
Preferred Qualifications
MS or PhD in Electrical Engineering, Applied Math or Physics
Multi-disciplinary understanding of EE and Physics principles
Experience with analyzing large datasets and developing data processing pipelines
Experience with training/validation for statistical inference or ML/DL algs
Experience with algorithm optimization for HW constraints (e.g. compute, memory, power)
Experience with establishing quantitative algorithm performance benchmarks
Experience with ML frameworks and data processing packages (eg PyTorch, SciPy, pandas, jax)
Experience in modeling complex cross-disciplinary systems
Experience in system-level design of imaging or sensing systems
Excellent written and verbal communication skills

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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