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Process Optimization Jobs in California (NOW HIRING)

Drive continuous improvement by optimizing processes, systems, and equipment performance. * Coordinate shortโ€‘ and longโ€‘term maintenance planning with production requirements, including scheduled ...

Process Engineer

Lynwood, CA ยท On-site

$49K - $70K/yr

Manage process optimization in regards to tooling, throughput, cost analysis on new/existing packages, and cost reduction on paint. * Oversee first article qualification to ensure time optimization ...

Maintaining current processes, optimizing existing processes, and training in safe and efficient operations of the Electroplating process cells. * Taking ownership and responsibility for supporting ...

Experience creating semiconductor process recipes from scratch and optimizing existing process recipes. * Knowledge of plasma etch, thin-film, deposition, metrology, or semiconductor process ...

Process Engineer V

Santa Clara, CA ยท On-site

$163K - $224K/yr

As a Process Engineer, you'll play a crucial role in designing and optimizing manufacturing processes for display and semiconductor manufacturing technologies. You will collect and analyze data ...

Senior Process Engineer

Carlsbad, CA

$106K - $138K/yr

Senior Process Engineer This Senior Process Engineer role focuses on developing, optimizing, and scaling advanced manufacturing and packaging processes for optoelectronic and silicon photonics ...

Senior Process Engineer

Carlsbad, CA

$106K - $138K/yr

Senior Process Engineer This Senior Process Engineer role focuses on developing, optimizing, and scaling advanced manufacturing and packaging processes for optoelectronic and silicon photonics ...

Process Engineer V

Santa Clara, CA ยท On-site

$163K - $224K/yr

As a Process Engineer, you'll play a crucial role in designing and optimizing manufacturing processes for display and semiconductor manufacturing technologies. You will collect and analyze data ...

This role is responsible for developing, validating, optimizing, and sustaining manufacturing processes that support high-quality production while ensuring regulatory compliance and operational ...

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Showing results 41-60

Process Optimization information

What are the key skills and qualifications needed for process optimization?

To thrive in Process Optimization, you need strong analytical skills, a background in process engineering or industrial engineering, and often a relevant degree in engineering, business, or operations management. Familiarity with process mapping software, Lean Six Sigma methodologies, and data analysis tools such as Excel, Minitab, or Tableau is commonly required, with certifications like Lean Six Sigma Green or Black Belt being advantageous. Exceptional problem-solving abilities, communication skills, and a collaborative mindset help candidates stand out in this role. These skills are crucial for identifying inefficiencies, facilitating improvements, and driving measurable results across diverse business operations.

What is process optimization?

A Process Optimization job focuses on analyzing, improving, and streamlining workflows to enhance efficiency, reduce costs, and improve overall performance. Professionals in this role use data analysis, automation, and best practices to identify bottlenecks and implement solutions. They often collaborate with cross-functional teams to drive continuous improvement and ensure sustainable operational success. Depending on the industry, this role may involve Lean, Six Sigma, or other methodologies to optimize business processes.

What is a process optimization specialist?

A process optimization specialist is a professional who analyzes and improves business processes to increase efficiency, reduce costs, and enhance quality. They often use tools like Lean, Six Sigma, or data analysis software and may require certifications in process improvement methodologies.

What does a process optimization specialist do?

A typical day for a Process Optimization professional involves analyzing current workflows, identifying areas for improvement, and collaborating with cross-functional teams to implement solutions. You may spend time mapping out processes, conducting data analysis, and facilitating meetings or workshops to gather input and drive change. The role often requires balancing hands-on problem solving with documentation and reporting progress to stakeholders. Close collaboration with departments such as production, quality assurance, and IT is common to ensure sustainable improvements. These varied responsibilities keep the work dynamic and provide opportunities for ongoing learning and impact.

What are the most commonly searched types of Process Optimization jobs in California? The most popular types of Process Optimization jobs in California are:
What are popular job titles related to Process Optimization jobs in California? For Process Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Process Optimization jobs in California look for? The top searched job categories for Process Optimization jobs in California are:
What cities in California are hiring for Process Optimization jobs? Cities in California with the most Process Optimization job openings:
Infographic showing various Process Optimization job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Pixel Design Engineer - Process R&D

OMNIVISION

Santa Clara, CA โ€ข On-site

$140K - $170K/yr

Full-time

Re-posted 27 days ago


Job description

Description
Role Overview
As a Pixel Design Engineer within the Process R&D team, you will work on innovation in pixel architecture and process optimization. You will play a key role in advancing simulation methodologies, developing next-generation pixel technologies, and collaborating cross-functionally to enable cutting-edge imaging and display solutions.
Key Responsibilities
  • Optimize pixel structures and fabrication processes to improve electrical/optical performance and efficiency.
  • Develop, enhance, and validate simulation methodologies for CIS (CMOS Image Sensor) pixel optimization and system-level modeling.
  • Collaborate with process integration and design teams to improve pixel characteristics and develop new pixel architectures tailored to specific applications, including - Phase Detect (PD), Dual Pixel Detection (DPD), Near-Infrared (NIR), Time-of-Flight (ToF) and LCOS (Liquid Crystal on Silicon)
  • Partner with system engineering and architecture teams to model and optimize devices, components, and full systems leveraging OVT sensors and display technologies.
  • Contribute to next-generation sensors and display performance through data-driven modeling and cross-functional innovation.

Qualifications
  • 5+ years of experience in pixel optimization and performance enhancement.
  • 5+ years of experience in device-based technologies, including development of advanced semiconductor processes (CIS process experience strongly preferred).
  • MSEE, MS in Physics, or equivalent required; PhD preferred.
  • Background in simulation tools and semiconductor device physics.
  • Demonstrated ability to work cross-functionally in R&D environments.

Annual base salary for this role in California, US is expected to be between $140,000 - $170,000. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.
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