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Applied Math Jobs in Santa Clara, CA (NOW HIRING)

Tata Consultancy Services

Agentic AI Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

... Applied Math, or related field. • Strong Python programming skills (experience with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship experience in ...

Advantest

Applied AI Engineer

San Jose, CA · On-site

Bachelors/master's in computer science, Electrical Engineering, Robotics, AI/ML, Applied Mathematics, Operations Research, or related field. Ideal Candidate Backgrounds * Senior ML engineer with real ...

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All JobsApplied Math JobsApplied Math Jobs in Santa Clara, CA

Applied Math information

See Santa Clara, CA salary details

$26.4K

$69.1K

$111K

How much do applied math jobs pay per year?

As of Sep 4, 2026, the average yearly pay for applied math in Santa Clara, CA is $69,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $82,200.00 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 Santa Clara, CA?

For Applied Math jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in Santa Clara, CA look for?

The top searched job categories for Applied Math jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Applied Math jobs?

Cities near Santa Clara, CA with the most Applied Math job openings:

Applied Math jobs near you
Infographic showing various Applied Math job openings in Santa Clara, CA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $69,101 per year, or $33.2 per hour.

Postdoctoral Fellow - Applied & Computational Scientists

SRI International

Menlo Park, CA • Hybrid

$83K - $104K/yr

Full-time

Re-posted 14 days ago

Job description

The Applied Sciences Laboratory at SRI International is seeking multiple Postdoctoral Fellows - Applied and Computational Scientists to conduct research and development in the areas of mathematics of generative AI models, reinforcement learning, and algorithm design. Though knowledge in one or more of these areas is desired, the ability to quickly learn new topics and dive into unfamiliar areas of research is a key ability that will be required.  These positions will be in support of a new computational and mathematical sciences team at SRI International headquarters in Menlo Park, CA, with flexibility for a hybrid work schedule. We are looking to fill in June, July or August, 2026. 

Our team focuses on the development of new algorithms for a wide variety of exciting applications including supply chain networks, social graphs, optimization of generative AI models, material failures, quantum algorithms, and biological systems. The aim of the team is to conduct and publish research at top venues and assist SRI commercialize relevant technologies by filing patents and spinning out start-ups.


  • Develop research ideas, lead the experimental evaluation of these ideas, present work to government and commercial clients,  
  • Collaborate with project Principal Investigators (PIs) and their staff in academia, Industrial and National Labs
  • Document research in technical reports and research papers
  • Develop and implement new algorithms and benchmark against state-of-the-art approaches
  • Some travel will be required to project meetings, and conference venues

  • Ph.D. in Applied Mathematics, Physics or Engineering with a focus on computational sciences, Computer Science or related area.
  • Demonstrated publication record.
  • Must have U.S. Citizenship or Perm Residency.
  • Expertise in algorithm development associated with the following: artificial intelligence, algorithm design, scalable computational methods and their implementations.
  • Demonstrated experience implementing novel algorithms in one or more programming languages such as Python, C/C++, and libraries associated with training of AI models.
  • Excellent written, oral, and interpersonal communication skills required.
  • Ability to start June, July or August 2026

The salary range is: $83,200-104,000. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled.

SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.

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