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Algorithms Jobs in California (NOW HIRING)

Amat

Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering, literature ...

Applied Materials

Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering, literature ...

Toyon Research Corporation

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

Experience developing and testing algorithms for processing real-world image or radar data is strongly desired. Experience with wave physics (RF, acoustic, optical) is strongly desired. WE OFFER AN ...

Toyon

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

Experience developing and testing algorithms for processing real-world image or radar data is strongly desired. Experience with wave physics (RF, acoustic, optical) is strongly desired. WE OFFER AN ...

Applied Materials

Algorithm Developer

Santa Clara, CA · On-site

$131K - $180K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform algorithmic C&F for an algorithmic feature, including problem analysis, data gathering, literature ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · On-site

$114K - $156K/yr

Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity, computationally-efficient hardware models. * Contribute to silicon bring-up, debugging, and ...

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All JobsAlgorithms JobsAlgorithms Jobs in California

Algorithms information

See California salary details

$65.1K

$132.4K

$189K

How much do algorithms jobs pay per year?

As of Jul 12, 2026, the average yearly pay for algorithms in California is $132,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,204.00 and $156,676.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithms are fundamental to many jobs in technology, data science, software engineering, and artificial intelligence. Professionals in these roles develop, analyze, and implement algorithms to solve problems, optimize processes, and build systems, often using programming languages like Python, Java, or C++. Knowledge of data structures, mathematical concepts, and computational theory is essential in these fields.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand fields like algorithms, machine learning, or data science at large tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often working in competitive markets or leadership roles.

What is the job of an algorithm?

The job of an algorithm is to provide a step-by-step procedure for solving a specific problem or performing a task efficiently. In programming and data analysis, algorithms are used to process data, make decisions, and optimize outcomes, often requiring knowledge of programming languages and logical thinking.

What is the difference between Algorithms vs Data Analysts?

AspectAlgorithmsData Analysts
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, research labs, software developmentBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed to develop models, optimize processes, and automate tasksUsed to interpret data, generate reports, and support decision-making

Algorithms focus on designing step-by-step procedures for problem-solving and are essential in software development and AI. Data Analysts interpret and visualize data to help organizations make informed decisions. While both roles work with data, algorithms are more technical and programming-intensive, whereas data analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as an Algorithms Engineer, and why are they important?

To thrive as an Algorithms Engineer, you need a strong background in computer science, mathematics, and data structures, typically supported by a relevant degree. Familiarity with programming languages like Python or C++, version control systems, and algorithm analysis tools is essential. Strong analytical thinking, problem-solving ability, and effective communication skills set exceptional candidates apart. These competencies are crucial for designing efficient solutions, optimizing performance, and collaborating effectively within technical teams.

What are algorithms in the context of computer science jobs?

Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks, commonly used in computer science for data processing, calculation, and automated reasoning. Professionals who work with algorithms develop, analyze, and optimize these procedures to improve the efficiency and effectiveness of software and systems. Understanding algorithms is crucial for roles like software engineers, data scientists, and researchers, as it enables them to create solutions that are both correct and efficient.

What tech jobs pay $400,000 a year?

Senior roles in algorithms, such as Principal Algorithm Engineer or Lead Data Scientist, can reach or exceed $400,000 annually, especially in high-cost living areas or top tech companies. These positions typically require advanced skills in machine learning, data analysis, and programming, along with extensive experience and often stock options or bonuses.

What are some common challenges faced by professionals working in algorithm development roles?

Professionals in algorithm development often encounter challenges such as balancing computational efficiency with accuracy, ensuring scalability for large datasets, and adapting algorithms to evolving requirements. Collaborating closely with data scientists, engineers, and product teams is essential to align solutions with real-world constraints and business goals. Staying current with the latest research and technologies is also important, as the field evolves rapidly and new methods frequently emerge.
Algorithms jobs near you
Infographic showing various Algorithms job openings in California as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $132,374 per year, or $63.6 per hour.

Algorithm Developer

Amat

Santa Clara, CA • On-site

$161K - $221K/yr

Full-time

Re-posted 26 days ago

Job description

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:

$161,000.00 - $221,000.00

Location:

Santa Clara,CA

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Key Responsibilities

  • Develop & Evaluate data science modeling (incl. ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment
  • Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains
  • Develop executable data science solutions delivering differentiated insights to the engineering team
  • Working with SW engineering team to develop data pipeline / modeling pipeline that can be integrated with the Internal Applied platform
  • Fine tune algorithm performance, troubleshoot and resolve algorithm / modeling pipeline issues
  • Document algorithmic development, plan and accompany implementation, integration and testing of an algorithmic module
  • Conduct technical communication with colleagues from multi-teams under fast-paced environment from C&F to productization
  • Act as a technical tutor and instructor regarding own algorithmic modules. Guide algorithm developers working with him on same module

Minimum Qualifications

  • Master's degree with 6+ years of demonstrated achievement with hardware-oriented analytics
  • Strong knowledge of machine learning, deep learning or other statistical data analysis techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering
  • Good understanding of domain knowledge including sensors, semiconductor process, etc.
  • Experience in data extraction & cleaning, signal processing, and visualization for large datasets
  • Excellent programming skills including python, data science packages, React, SQL and more
  • Able to conduct technical communication with colleagues from globe

Business Expertise

  • PhD degrees with 3+ years demonstrated achievement with time-series data analysis of machinery tools
  • Hardware or process engineering experience in semiconductor industry
  • Experience developing data science methods for manufacturing problems

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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