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Linear Algebra Jobs in California (NOW HIRING)

Apple

GPU ML Engineer

Cupertino, CA

$150K - $277K/yr

Background in mathematics, including linear algebra and numerical methods is a plus. Minimum Qualifications Technical BS/MS degree and Equivalent experience. 2 plus years of experience GPU compute ...

Apple

GPU ML Engineer

Cupertino, CA

$184K - $324K/yr

Background in mathematics, including linear algebra and numerical methods is a plus. Minimum Qualifications Technical BS/MS degree and Equivalent experience. 2 plus years of experience GPU compute ...

FieldAI

Senior Software Engineer, 3D Computer Vision

Irvine, CA · On-site

$129K - $171K/yr

... linear algebra in C++ and Python • Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion • Evaluate and integrate emerging 3D vision methods (e.g ...

Apple Inc.

GPU ML Engineer

Cupertino, CA · On-site

$150K - $277K/yr

Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision. * Defining and implementing APIs in Metal Performance Shaders. * Performing in ...

IBM

Knowledge of linear algebra and numerical methods. * Ability to implement computational methods, analyze results, and communicate technical findings clearly. Preferred technical and professional ...

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How much do linear algebra jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for linear algebra in California is $28.47, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $29.90 per hour, depending on experience, location, and employer.

What is a linear algebra job?

A Linear Algebra job typically involves applying mathematical concepts related to vector spaces, matrices, and linear transformations to solve practical problems. Professionals in this field work in various industries like data science, computer graphics, engineering, and machine learning. They use linear algebra techniques for optimization, simulations, and numerical analysis. Common roles include data scientists, machine learning engineers, and quantitative analysts, where linear algebra is essential for modeling and computations.

What are the key skills and qualifications needed to thrive in the linear algebra position, and why are they important?

To thrive as a Linear Algebra Specialist, you need a strong background in mathematics or a related field, with expertise in linear algebra concepts and their applications. Familiarity with computational tools such as MATLAB, Python (NumPy), or specialized mathematical software is highly valued, and advanced degrees or certifications in mathematics or applied sciences may be required for certain positions. Strong analytical thinking, attention to detail, and effective communication help in collaborating with multidisciplinary teams and presenting complex findings. These skills are essential because they enable accurate problem-solving and real-world data modeling across industries like finance, engineering, and research.

What are typical projects or responsibilities for professionals specializing in linear algebra?

Professionals specializing in Linear Algebra often work on projects involving data analysis, optimization problems, computer graphics, or machine learning models that require a deep understanding of vector spaces and matrix operations. Their daily responsibilities may include designing algorithms, performing numerical simulations, validating mathematical models, and working closely with data scientists, engineers, or researchers. They may also be tasked with translating theoretical concepts into practical solutions, presenting findings to stakeholders, and documenting methodologies. As part of cross-functional teams, they frequently collaborate to solve complex problems and advance project goals in fields like technology, academia, or finance.

What careers use linear algebra?

Linear algebra is fundamental in careers such as data scientist, engineer, computer graphics specialist, and physicist, where it is used to analyze data, model systems, and develop algorithms. Professionals in these fields often use tools like MATLAB or Python libraries and require strong mathematical skills to solve complex problems.

What are the most commonly searched types of Linear Algebra jobs in California?

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For Linear Algebra jobs in California, the most frequently searched job titles are:

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The top searched job categories for Linear Algebra jobs in California are:

Linear Algebra jobs near you
Infographic showing various Linear Algebra job openings in California as of September 2026, with employment types broken down into 46% Full Time, 51% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 48% Physical, and 52% Remote job distribution, with an average salary of $59,214 per year, or $28.5 per hour.

Senior Math Libraries Engineer - Dense Linear Algebra

Santa Clara, CA • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$118K - $160K/yr

Full-time

Re-posted 8 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance libraries such as cuSOLVER. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs and high-performance linear algebra libraries. Applications of these technologies include computer aided engineering (CAE), electronic design automation (EDA), quantum chemistry, autonomous vehicles, LLMs, computer vision, encryption, and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?

In this role, you will work together with other developers on designing, developing, and optimizing kernels for various algorithms including triangular factorizations, eigenvalue decompositions and singular value decompositions. Ideal candidates will not only have experience developing accelerated computing kernels, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you!

What you will be doing:

  • Designing, implementing and optimizing scalable high-performance numerical dense linear algebra software on GPUs

  • Providing technical leadership and guidance to library engineers, QA engineers, and interns working with you on projects

  • Working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries

  • Finding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices

What we need to see:

  • PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience)

  • 5+ years of overall experience in developing, debugging and optimizing high-performance numerical linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads

  • Strong fundamentals in numerical methods such as computational linear algebra, linear system solvers, and methods for eigenvalue, singular value, and other decompositions

  • Experience developing dense linear algebra libraries such as BLAS, LAPACK; and their parallel counterparts like PBLAS and SCALAPACK

  • Strong collaboration, communication, and documentation habits

Ways to stand out from the crowd:

  • Good knowledge of CPU and/or GPU hardware architecture

  • Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.

  • Experience with working in a globally distributed organization

  • Strong background of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement.

#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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 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

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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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