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Operational Efficiency Jobs in California (NOW HIRING)

EnCore

Operational Excellence Leader

Huntington Beach, CA · On-site

$120K - $175K/yr

... comfort, efficiency, and flexibility. We offer customizable, pre-certified components and ... JOB SUMMARY The Operational Excellence Leader is responsible for driving continuous improvement and ...

The Blue Collar Recruiter

Operations Manager

Cotati, CA

$130K - $180K/yr

Process improvement initiatives and operational efficiency Your primary objective is to ensure every department operates cohesively, delivering exceptional service while maximizing productivity and ...

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All JobsOperational Efficiency JobsOperational Efficiency Jobs in California

Operational Efficiency information

See California salary details

$42.4K

$89.4K

$158.9K

How much do operational efficiency jobs pay per year?

As of Jul 19, 2026, the average yearly pay for operational efficiency in California is $89,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $101,200.00 per year, depending on experience, location, and employer.

What are examples of operational efficiency?

Operational efficiency in a role involves optimizing processes to reduce waste, improve productivity, and lower costs. Examples include streamlining workflows, automating repetitive tasks, implementing quality control measures, and utilizing data analysis tools to identify areas for improvement.

What are the typical daily responsibilities of someone working in Operational Efficiency?

Professionals in Operational Efficiency spend their days analyzing existing business processes, identifying areas for improvement, and collaborating with different departments to implement effective solutions. You may conduct data analyses, lead process mapping sessions, prepare reports that track performance metrics, and facilitate training for teams impacted by changes. The role often involves balancing multiple projects and working closely with stakeholders to ensure initiatives align with overall business goals, making communication and adaptability essential. This dynamic work environment offers varied challenges and opportunities to make a tangible impact on organizational success.

What is an Operational Efficiency job?

An Operational Efficiency job focuses on improving processes, reducing waste, and maximizing productivity within an organization. Professionals in this role analyze workflows, identify inefficiencies, and implement strategies to enhance performance. They work across departments to streamline operations, reduce costs, and improve overall business effectiveness. This role often requires expertise in process improvement methodologies like Lean or Six Sigma.

What jobs pay 4000 a week without a degree?

Operational efficiency roles such as sales managers, project managers, or certain technical specialists can pay around $4,000 weekly without requiring a degree, especially with experience and strong skills. High-paying positions in sales, real estate, or skilled trades may also reach this level, often emphasizing performance, certifications, or on-the-job training over formal education.

Is operations a high paying job?

Operations roles can offer competitive salaries, especially in industries like manufacturing, logistics, and corporate management. Salary levels depend on experience, location, and the size of the organization, with higher-paying positions often requiring strong skills in process improvement, data analysis, and leadership.

What professions make $500,000 a year?

Professions that can earn $500,000 or more annually include executive roles such as CEOs and CFOs, specialized medical practitioners like neurosurgeons and anesthesiologists, and successful entrepreneurs. High earnings often require advanced skills, extensive experience, and in some cases, ownership of a business or significant investments.

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

To excel in Operational Efficiency, you need strong analytical, project management, and process improvement skills, often supported by a degree in business, engineering, or a related field. Familiarity with Lean Six Sigma methodologies, data analytics tools like Excel or Tableau, and process mapping software is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset set top candidates apart. These strengths ensure the ability to identify inefficiencies, implement sustainable solutions, and drive continuous improvement across the organization.

What are the most commonly searched types of Operational Efficiency jobs in California? The most popular types of Operational Efficiency jobs in California are:
What are popular job titles related to Operational Efficiency jobs in California? For Operational Efficiency jobs in California, the most frequently searched job titles are:
What job categories do people searching Operational Efficiency jobs in California look for? The top searched job categories for Operational Efficiency jobs in California are:
Operational Efficiency jobs near you
Infographic showing various Operational Efficiency job openings in California as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $89,424 per year, or $43 per hour.
Software Engineer, Operational/ Process Efficiency

Software Engineer, Operational/ Process Efficiency

Waymo

Mountain View, CA

Other

Re-posted 19 days ago

Job description

This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to generalize complex depot operations-such as exterior cleaning, sensor calibration, and maintenance checks-using advanced robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to translate real-world needs into robust, working solutions.

This role follows a hybrid work schedule and reports to a Director, Hardware and Sensors.

You will:

  • Drive the automation of the hardware lifecycle for critical sensors (lidar, radar, cameras) and compute modules.
  • Develop and deploy agentic systems and foundation models to streamline workflows between internal teams and contract manufacturers.
  • Identify opportunities to apply AI to manufacturing, installation, and troubleshooting processes to increase operational velocity.
  • Interface with a diverse set of stakeholders, including hardware design engineers, failure analysis engineers, and diagnostic teams, to translate physical requirements into technical specifications.
  • Bridge the gap between experimental ML models and high-scale production environments.

You have:

  • A Masters or PhD in Machine Learning, Computer Science, or a related technical field.
  • A proven track record of delivering working engineering solutions, balancing scientific rigor with production needs.
  • Experience in training, evaluating, and deploying machine learning models at scale.
  • Strong communication skills and the ability to collaborate across multidisciplinary teams (from field technicians to hardware designers).

We prefer:

  • Hands-on experience or deep familiarity with agentic tools and frameworks.
  • Experience working with large-scale foundation models (LLMs, VLMs) and fine-tuning them for specialized domains.
  • Background in automating industrial or hardware-centric workflows.
  • Familiarity with hardware diagnostics, failure analysis, or manufacturing processes.

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