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Applied Math Jobs in San Jose, CA (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+ ...

Applied Materials

Algorithm Developer III

Santa Clara, CA · On-site

$161K - $221K/yr

Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or a related quantitative discipline, or * Master's degree in one of the above fields ...

Capital One

Applied Researcher II

San Jose, CA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Capital One

Applied Researcher II

San Jose, CA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

Capital One

Applied Researcher II

San Francisco, CA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

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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 Aug 8, 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.

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.

What jobs can you get with applied math?

Applied math graduates can pursue careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical and mathematical modeling. Many positions are found in finance, technology, healthcare, and government sectors.

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.

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 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.

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 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 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 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.

Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

NVIDIA Gruppe

Santa Clara, CA • On-site

$116 - $189.75/hr

Other

Posted 3 days ago

New

Job description

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:
  • Master's or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics (or equivalent experience).
  • Knowledge 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++.
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.
  • Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.
Salary and benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Equal Opportunity Statement

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate 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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