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Linear Programming Jobs in California (NOW HIRING)

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Linear Programming) and MILP (Mixed-Integer Linear Programming) models; 4. Simulation techniques including discrete-event and Monte Carlo simulation; 5. Data mining algorithms including machine ...

Data Science Lead

Milpitas, CA · On-site

$148K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Linear Programming) and MILP (Mixed-Integer Linear Programming) models; 4. Simulation techniques including discrete-event and Monte Carlo simulation; 5. Data mining algorithms including machine ...

... Linear Programming. • Experience with advanced NLP and Multimodal post-training experience (e.g., model distillation, quantization, deployment optimization). • Experienced in inference time ...

... Linear Programming. • Experience with advanced NLP and Multimodal post-training experience (e.g., model distillation, quantization, deployment optimization). • Experienced in inference time ...

Showing results 21-40

Linear Programming information

See California salary details

$43.9K

$69.9K

$97.7K

How much do linear programming jobs pay per year?

As of Aug 14, 2026, the average yearly pay for linear programming in California is $69,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $87,300.00 per year, depending on experience, location, and employer.

What careers use linear programming?

Linear programming is used in careers such as operations research analysts, supply chain managers, financial analysts, and industrial engineers. These roles involve optimizing processes, resource allocation, and decision-making using mathematical models and tools like Excel Solver or specialized software. Strong analytical skills and knowledge of optimization techniques are essential in these fields.

What is a linear programming?

A Linear Programming job involves using mathematical optimization techniques to maximize or minimize a particular objective, such as cost reduction or resource allocation, under a set of given constraints. Professionals in this field work with mathematical models, algorithms, and software tools like Python, MATLAB, or specialized solvers. These jobs are common in industries like logistics, finance, operations research, and data science, where efficient decision-making is critical.

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

To succeed in a Linear Programming role, you need strong mathematical and analytical skills, typically supported by a degree in operations research, mathematics, or a related quantitative field. Familiarity with optimization software such as CPLEX, Gurobi, or MATLAB, along with programming knowledge in Python or R, is often required. Excellent problem-solving abilities, attention to detail, and clear communication are valuable soft skills in this position. These skills and qualities are crucial for effectively modeling, analyzing, and solving complex optimization problems that drive organizational decision-making.

What are the typical responsibilities of someone working in a linear programming role?

Professionals specializing in Linear Programming are responsible for developing mathematical models to optimize processes such as resource allocation, scheduling, or logistics. Their daily tasks often include collecting and analyzing data, formulating objective functions and constraints, coding and testing optimization algorithms, and interpreting solutions for practical implementation. Collaboration with cross-functional teams such as data analysts, engineers, and business stakeholders is common to ensure models accurately address real-world challenges. By transforming large and complex datasets into actionable insights, these professionals play a key role in improving efficiency and supporting data-driven decisions across industries.

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

The most popular types of Linear Programming jobs in California are:

What cities in California are hiring for Linear Programming jobs?

Cities in California with the most Linear Programming job openings:

Infographic showing various Linear Programming job openings in California as of August 2026, with employment types broken down into 78% Full Time, 11% Temporary, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $69,929 per year, or $33.6 per hour.

Senior Math Libraries Engineer - Dense Linear Algebra

NVIDIA Corporation

Santa Clara, CA • On-site

$190 - $357/hr

Other

Re-posted 4 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


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 GPUsProviding technical leadership and guidance to library engineers, QA engineers, and interns working with you on projectsWorking closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of librariesFinding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practicesWhat 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, pthreadsStrong fundamentals in numerical methods such as computational linear algebra, linear system solvers, and methods for eigenvalue, singular value, and other decompositionsExperience developing dense linear algebra libraries such as BLAS, LAPACK; and their parallel counterparts like PBLAS and SCALAPACKStrong collaboration, communication, and documentation habitsWays to stand out from the crowd:Good knowledge of CPU and/or GPU hardware architectureExperience 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 organizationStrong 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-HybridYour 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. #J-18808-Ljbffr

What Nvidia employees say

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Benefits

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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