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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 ...

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 ...

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How much do linear algebra jobs pay per hour?

As of Aug 5, 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 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 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 the most commonly searched types of Linear Algebra jobs in California? The most popular types of Linear Algebra jobs in California are:
What are popular job titles related to Linear Algebra jobs in California? For Linear Algebra jobs in California, the most frequently searched job titles are:
What job categories do people searching Linear Algebra jobs in California look for? 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 July 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $59,214 per year, or $28.5 per hour.

Senior Math Libraries Engineer - Sparse Linear Algebra

NVIDIA

Santa Clara, CA • On-site

$55K - $72K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA is a leading technology company known for its innovations in AI and high-performance computing. They are seeking a Senior Math Libraries Engineer to design, develop, and optimize numerical sparse linear algebra software for GPU architectures, collaborating with various teams to enhance library quality and performance.
Responsibilities:
• Designing, implementing and optimizing scalable high-performance numerical sparse linear algebra software for existing and future GPU architectures
• Working with library engineers, QA engineers, and interns on topics ranging from sparse BLAS operations to advanced direct and iterative sparse solvers
• 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
Qualifications:
Required:
• PhD or MSc degree (or equivalent experience) in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field is preferred
• 5+ years of overall experience in developing, debugging and optimizing high-performance sparse linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads, or equivalent technologies
• Strong fundamentals in floating point arithmetic and implementation of sparse linear algebra primitives like matrix-vector and matrix-matrix products
• Experience in developing, maintaining, and testing sparse linear algebra libraries
• Strong collaboration, communication, and documentation habits.
Preferred:
• Good knowledge of CPU and/or GPU hardware architecture and low-level GPU performance optimization
• Familiarity with technologies such as multi-frontal factorizations, iterative solvers, preconditioners, and algebraic multigrid
• Experience with adopting and advancing software development practices such as CI/CD systems and project management tools such as JIRA
• Understanding of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)
• Working experience in a globally distributed and agile organization
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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

Year founded

1993

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