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Optimization Jobs in California (NOW HIRING)

Efficient Computer

Optimization Engineer

San Jose, CA · On-site

$130K - $200K/yr

Efficient's Optimization Engineers optimize and benchmark applications, libraries, and kernels for the world's most energy-efficient programmable processor (the "Fabric"). In this role, you will take ...

Firm Media Inc

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Search Engine Optimization (SEO) Specialist

Ontario, CA · On-site

$25 - $29/hr

Your expertise in SEO techniques and best practices will be essential in achieving client goals. RESPONSIBILITIES: Strategy Alignment and Implementation: * Adhere to the overarching strategy set ...

OSI Engineering, Inc.

SEO Analyst

Culver City, CA · On-site

$76 - $91/hr

This role will play a critical part in supporting our SEO initiatives, and driving organic growth. The ideal candidate is passionate about search engine optimization, has a strong analytical mindset ...

Living Spaces - Corporate

SEO Analyst

La Mirada, CA

$81K - $108K/yr

Position Summary The SEO Analyst will be primarily focused on reporting, analytics, and technical audits to drive data-driven SEO strategies for livingspaces.com. This role will collaborate closely ...

Living Spaces

SEO Analyst

La Mirada, CA · On-site

$81K - $108K/yr

Position Summary The SEO Analyst will be primarily focused on reporting, analytics, and technical audits to drive data-driven SEO strategies for livingspaces.com. This role will collaborate closely ...

West County Net

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Search Engine Optimization (SEO) Specialist - ON SITE

Santa Rosa, CA · On-site

$28/hr

West County Net is looking for a highly skilled SEO Specialist to join our dynamic digital marketing and development teams . In this role, you'll be at the forefront of helping our clients improve ...

Mindgruve

SEO Manager

San Diego, CA · On-site +1

$7.5K - $85K/mo

Mindgruve is seeking an SEO Manager to join our growing SEO team. This is an individual contributor role with high impact: you'll help lead strategies across new and existing accounts, own technical ...

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All JobsOptimization JobsOptimization Jobs in California

Optimization information

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$40

$58

$80

How much do optimization jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for optimization in California is $58.87, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $72.60 per hour, depending on experience, location, and employer.

What is an optimization job?

An optimization job involves analyzing and improving processes, systems, or performance to increase efficiency and effectiveness. Roles often require skills in data analysis, problem-solving, and familiarity with tools like Excel or specialized software. These jobs are common in fields such as operations, marketing, and supply chain management.

What hot tech job pays $775 000?

High-level roles in technology, such as senior software engineers, data scientists, or machine learning engineers, can reach salaries of $775,000 or more, especially with extensive experience, specialized skills, and stock options. Executive positions like CTOs or chief data officers in large companies may also earn compensation in this range.

What jobs use optimization?

Optimization is used in a variety of jobs including operations research analysts, data scientists, supply chain managers, and financial analysts. These roles involve improving processes, algorithms, or strategies to increase efficiency, reduce costs, or maximize outcomes, often utilizing tools like mathematical modeling, statistical analysis, and specialized software.

What are optimization jobs?

Optimization jobs refer to roles that focus on improving systems, processes, or products to achieve the best possible performance, efficiency, or outcomes. These positions can be found in various industries, including engineering, data science, logistics, and business operations. Professionals in optimization analyze data, identify inefficiencies, and develop solutions using mathematical models, algorithms, or process improvements. Their goal is to maximize value while minimizing costs or resource use. Common job titles in this field include Optimization Engineer, Data Optimization Analyst, and Operations Research Analyst.

What is the difference between Optimization vs Data Analyst?

AspectOptimizationData Analyst
Required CredentialsOften requires degrees in mathematics, statistics, or related fields; certifications like Google Data Studio or Six SigmaTypically requires degrees in statistics, computer science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentPrimarily analytical, project-based, often in marketing, e-commerce, or manufacturingData-driven, reporting-focused, in various industries including finance, healthcare, and tech
Employer & Industry UsageUsed by companies aiming to improve processes, efficiency, and performanceUsed by organizations to interpret data, generate reports, and support decision-making

While both roles involve data analysis, Optimization focuses on improving processes and performance through analytical techniques, whereas Data Analysts primarily interpret data and generate reports to inform business decisions.

What jobs pay 4000 a week without a degree?

In the field of optimization, high-paying roles such as freelance consultants, digital marketers, or sales managers can earn around $4,000 weekly without a formal degree, often relying on experience, skills, and certifications. These jobs typically require strong analytical abilities, proficiency with relevant tools, and a results-driven approach, with some roles offering flexible schedules and remote work options.

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

To thrive as an Optimization Specialist, you need strong analytical skills, a background in mathematics or engineering, and experience with data-driven decision-making. Familiarity with optimization software (such as Gurobi or CPLEX), programming languages like Python or R, and relevant certifications in operations research or analytics are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting results and collaborating with stakeholders. These skills and qualities are crucial for identifying optimal solutions, improving efficiency, and delivering measurable business value.

What are some common challenges faced by professionals in optimization roles, and how can they be addressed?

Professionals in optimization roles often encounter challenges such as dealing with incomplete or noisy data, balancing multiple and sometimes conflicting objectives, and ensuring that solutions are scalable for real-world implementation. Addressing these challenges requires strong analytical skills, collaboration with domain experts, and the ability to communicate complex concepts to non-technical stakeholders. Leveraging advanced tools and staying updated with the latest optimization techniques can also enhance problem-solving capabilities and contribute to project success.
What are the most commonly searched types of Optimization jobs in California? The most popular types of Optimization jobs in California are:
What are popular job titles related to Optimization jobs in California? For Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Optimization jobs in California look for? The top searched job categories for Optimization jobs in California are:
What cities in California are hiring for Optimization jobs? Cities in California with the most Optimization job openings:
Optimization jobs near you
Infographic showing various Optimization job openings in California as of July 2026, with employment types broken down into 6% Internship, 81% Full Time, and 13% Part Time. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $122,442 per year, or $58.9 per hour.

Optimization Engineer

Efficient Computer

San Jose, CA • On-site

$130K - $200K/yr

Full-time

Retirement

Posted yesterday

Job description

Efficient is developing the world's most energy-efficient general-purpose computer processor. Efficient's patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform's unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution
About the Role
We are seeking Software Optimization Engineers to join our growing team. Efficient's Optimization Engineers optimize and benchmark applications, libraries, and kernels for the world's most energy-efficient programmable processor (the "Fabric"). In this role, you will take ownership of complex, performance-critical, kernel code while working closely with Efficient's compiler and embedded teams contributing feedback on compiler performance and kernel benchmarks on 3rd-party devices. In other words, you will push the performance limit of compute on our platform.
This position is a unique opportunity to work on cutting-edge hardware/software co-design, while making an immediate impact in building the next generation of optimized libraries and applications used by our customers.
Required Qualifications & Experience
  • Hands-on software development experience working closely with hardware, including exposure to at least one RISC, DSP or GPU platform.
  • A passion for analyzing and maximizing software performance on an unique dataflow architecture.
  • A collaborative spirit, with the ability to work with and influence multiple engineering teams.
  • Demonstrated ability to write, debug, and maintain low-level systems-level code written in C/C++.
  • Actively uses AI tools to generate, optimize, and debug code.
  • Excellent written, verbal, analytical and technical communication skills with the ability to clearly document complex systems.
  • Minimum Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Desired Qualifications & Experience
  • Some experience with CUDA, HIP and/or other parallel programming models.
  • Some exposure to low-level programming interfaces, e.g. PTX, LLVM IR and/or MLIR.
  • Some domain expertise in one or more of the following areas: Linear Algebra, ML, Image Processing, Video Processing, Signal Processing, Audio Processing, SDR, realtime programming, or Robotics.
  • Some background in performance profiling, benchmark design, or comparative hardware analysis.

We offer a competitive salary for this role, generally ranging from $130,000 to $200,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.
Why Join Efficient?
Efficient offers a competitive compensation and benefits package, including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility. We are committed to personal and professional development and strive to grow together as people and as a company.

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