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Linear Programming Jobs in California (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras * Machine Learning ...

Industrious Ventures

Principal Astronomical Engineer

Irvine, CA · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Linear programming * Non‑linear programming * Ability to design, develop, and test the aforementioned engineering areas * Strong proficiency in C, C++, and Python, and implementation of ...

Turion Space Corp.

Principal Astronomical Engineer

Irvine, CA · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Linear programming * Non‑linear programming * Ability to design, develop, and test the aforementioned engineering areas * Strong proficiency in C, C++, and Python, and implementation of ...

Zoox

Software Engineer - Ride and Fleet Services

San Diego, CA · On-site

$145K - $219K/yr

  • Medical

  • Life

  • PTO

Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems. * Use operational research tools for ...

HDR

Water Resources Engineer

Sacramento, CA · On-site

$84K - $115K/yr

Skills such as scripting (Python or VBA) and experience using HEC-RAS 1D/2D, HEC-HMS, HEC-ResSim, consequence modeling (LifeSim & HEC-FDA), linear programming and optimization would be considered ...

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All JobsLinear Programming JobsLinear Programming Jobs in California

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 are popular job titles related to Linear Programming jobs in California?

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

What job categories do people searching Linear Programming jobs in California look for?

The top searched job categories for 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:

Linear Programming jobs near you
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.

Data Science

Adidev Technologies Inc

San Francisco, CA • On-site

Full-time

Re-posted 24 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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