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Applied Math Jobs in California (NOW HIRING)

Novel Prep

AMC Math Instructor

Irvine, CA

$40 - $70/hr

Bachelors degree or higher in Mathematics, Applied Math, or a related STEM field. * 2+ years of teaching or tutoring experience , preferably with middle or high school students. * Deep familiarity ...

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Leidos

Applied Physicist III

San Diego, CA · On-site

$87K - $157K/yr

Apply applied physics, mathematics, and signal processing techniques to extract useful information from complex measured and simulated data sets. Perform data analysis, model validation, uncertainty ...

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+ ...

General Matter

Applied AI Engineer

Los Angeles, CA · On-site

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

General Matter

Applied AI Engineer

Los Angeles, CA

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

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All JobsApplied Math JobsApplied Math Jobs in California

Applied Math information

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How much do applied math jobs pay per year?

As of Jul 5, 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 are the highest paying jobs in applied mathematics?

High-paying jobs in applied mathematics include roles such as quantitative analyst, data scientist, operations research analyst, and financial engineer, often requiring strong programming skills and advanced degrees. These positions typically offer salaries exceeding $100,000 annually, especially in finance, technology, and consulting industries.

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 work with tools like programming languages and statistical software, and the degree provides a strong foundation for various technical roles.

What jobs can you get with an applied maths degree?

Applied mathematics graduates can pursue roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools in various industries like finance, technology, or healthcare.

What are applied math careers?

Applied math careers involve using mathematical methods and models to solve real-world problems across industries such as finance, engineering, data analysis, and technology. Professionals in this field often work with programming tools, statistical software, and data analysis techniques to develop solutions and support decision-making.

What are applied mathematicians?

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 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 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 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
Applied Math Libraries Engineer (SPU)

Applied Math Libraries Engineer (SPU)

Vorticity Inc.

Redwood City, CA • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
Vorticity Inc. is building the world’s first Scientific Processing Unit (SPU) to accelerate scientific computing. The Applied Math Libraries Engineer will work on developing numerical software foundations for the SPU, focusing on implementing mathematical primitives and collaborating with hardware and software teams.
Responsibilities:
• Prototype and implement core numerical linear algebra kernels and libraries for the SPU.
• Translate mathematical algorithms into executable, performance-relevant software.
• Write C, C++, and Python reference implementations to guide hardware, compiler, and runtime decisions.
• Design benchmarks, correctness tests, numerical accuracy tests, and performance models for numerical libraries and scientific workloads.
• Collaborate with hardware architects, compiler engineers, and runtime teams to evaluate algorithm–architecture tradeoffs and ensure numerical primitives map cleanly to the SPU programming model.
• Iterate based on hardware evolution, compiler behavior, benchmark results, and performance insights.
Qualifications:
Required:
• Strong foundation in applied mathematics, numerical linear algebra, and scientific computing, with the ability to turn mathematical ideas into correct and efficient software.
• Strong proficiency in C, C++, and Python.
• Comfort working close to hardware and writing performance-critical, low-level code.
• Experience implementing numerical algorithms yourself, rather than only using existing libraries.
• Ability to reason about memory layouts, cache behavior, bandwidth, arithmetic intensity, and parallel execution.
• Experience with parallel or accelerator programming models such as CUDA, OpenMP, MPI, SYCL, HIP, or similar.
• Solid understanding of concurrency fundamentals, including race conditions, atomics, synchronization, and thread/process behavior.
• Experience working with low-level GPU assembly, such as NVIDIA SASS, or equivalent native accelerator instruction sets.
• Excellent written and verbal communication skills.
• Strong ability to work independently and collaboratively in a team.
• Comfort operating in an early-stage environment where the hardware, compiler, and software stack are evolving together.
• Willingness to put in the hard work needed to bring the SPU to life.
• Above all: low ego.
Preferred:
• Familiarity with numerical computing libraries such as BLAS, LAPACK, FFTW, Eigen, SuiteSparse, PETSc, cuBLAS, cuSOLVER, cuSPARSE, cuFFT, or similar.
• Experience building numerical libraries, solvers, scientific computing frameworks, or HPC infrastructure.
• Familiarity with performance analysis tools or modeling techniques, including profilers, roofline models, hardware counters, or analytical performance models.
• Exposure to compilers, runtimes, code generation frameworks, or domain-specific languages for numerical computing.
• Experience applying numerical methods in scientific domains such as physics, geophysics, CFD, climate, materials, fusion, or finance.
Company:
At Vorticity, we started with a simple realization: some of humanity’s most important breakthroughs aren’t stalled by imagination, they’re stalled by compute. Founded in 2001, the company is headquartered in Redwood City, USA, with a team of 11-50 employees. The company is currently Early Stage.

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