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Intermediate Process Engineer Jobs in California

As an Intermediate Civil Engineer, you will be responsible for preparing technical design solutions, including defining project scope, schedule, and budgets; supporting quality management processes ...

... process engineer in a semiconductor device manufacturer with thin film quality control/metrology experience. * Experience in thin film analytical techniques. * Ability to speak at an intermediate ...

Exhibits initiative, process innovation, problem solving, and decision quality with a high ... engineering, and planning projects in the world. We believe an inclusive environment improves our ...

Intermediate R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

We are seeking an Intermediate R&D Engineer to join our team. The candidate will be part of the ... world industrial processes. This includes developing AI-driven decision systems and internal ...

... as a process engineer in a semiconductor device manufacturer with thin film quality control ... Ability to speak at an intermediate level in Japanese, Chinese, Korean, or Hebrew is a plus.

You will play a key role in the preliminary stages of our technical processes. Engineering Technicians will also be responsible for upkeeping and implementing operations and safety standards in the ...

Intermediate to Senior Project Engineer

Walnut Creek, CA · On-site

$109K - $142K/yr

... and signal processing, and extending instrumentation software with web, mobile, and cloud ... Responsibilities As an Intermediate to Senior Project Engineer at JKI, you will: * Work directly ...

Showing results 21-40

Intermediate Process Engineer information

What is an intermediate process engineer?

Intermediate Process Engineers are professionals who design, analyze, and improve industrial processes within manufacturing or production environments. They typically have several years of experience and work under the supervision of senior engineers, contributing to process optimization, troubleshooting, and the implementation of new technologies. Their responsibilities often include process simulations, data analysis, and ensuring that processes meet safety, quality, and efficiency standards. Intermediate Process Engineers often bridge the gap between entry-level engineers and senior leadership, taking on more complex projects and sometimes mentoring junior staff.

What are the key skills and qualifications needed to thrive as an intermediate process engineer?

To thrive as an Intermediate Process Engineer, you need a solid understanding of process design, chemical or mechanical engineering principles, and a relevant engineering degree. Familiarity with process simulation software (such as Aspen HYSYS or AutoCAD), industry regulations, and Six Sigma or Lean certifications is highly valued. Strong analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with cross-functional teams and optimizing processes. These qualifications and skills enable engineers to design efficient systems, ensure safety and compliance, and drive continuous improvement in industrial operations.

What are some common challenges an intermediate process engineer might face when working on cross-functional projects?

Intermediate Process Engineers often collaborate with teams from operations, quality, and maintenance, which can present challenges in aligning priorities and communication styles. Navigating differing timelines and expectations requires strong interpersonal and project management skills. Additionally, adapting to evolving project scopes and integrating feedback from multiple stakeholders is essential for successful project delivery. Proactive communication and a willingness to learn from other disciplines can help overcome these challenges and contribute to both personal and project success.

What is the difference between Intermediate Process Engineer vs Process Technician?

AspectIntermediate Process EngineerProcess Technician
Required CredentialsBachelor's degree in engineering or related field; some certificationsHigh school diploma or associate degree; technical certifications
Work EnvironmentDesign, optimization, and troubleshooting in manufacturing or chemical plantsOperating and maintaining equipment on the production floor
Employer & Industry UsageManufacturing, chemical, oil & gas industries

The Intermediate Process Engineer focuses on process design, improvement, and troubleshooting, often working in office settings or labs. In contrast, Process Technicians handle daily equipment operation and maintenance on the plant floor. Both roles are essential in manufacturing environments but differ in responsibilities and required qualifications.

Are intermediate process engineers in high demand?

Intermediate process engineers are generally in steady demand across manufacturing, chemical, and energy industries due to their expertise in process optimization and safety. Employers seek candidates with skills in process simulation, control systems, and certifications like Six Sigma, making experienced professionals valuable in the job market.

What are the most commonly searched types of Process Engineer jobs in California?

The most popular types of Process Engineer jobs in California are:

What cities in California are hiring for Intermediate Process Engineer jobs?

Cities in California with the most Intermediate Process Engineer job openings:

Intermediate R&D Engineer

Cesna Recruitment

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

[Position]

Intermediate R&D Engineer

[About Our Client]

Leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. San Diego Office, Research & Development hub for artificial intelligence and deep learning technologies.

[Job Summary]

We are seeking an Intermediate R&D Engineer to join our team. The candidate will be part of the core group driving next-generation AI initiatives across manufacturing and industrial domains. Our team develops scalable ML/DL solutions?including predictive modeling, reinforcement learning?based optimization, and high-performance inference?to enhance production efficiency, quality, and automation.

As part of our focus on Physical AI, you will help design systems that not only predict outcomes but also control and optimize real-world industrial processes. This includes developing AI-driven decision systems and internal optimization tools that interact with physical systems, enabling intelligent, adaptive, and self-improving production operations.

You will collaborate closely with interdisciplinary teams across software engineering, robotics, systems engineering, and manufacturing to deploy AI solutions that directly impact production performance and operational decision-making.

[Job Description]

Responsibilities

- Design, train, and evaluate advanced ML/DL architectures and apply them to real-world industrial challenges.

- Build and maintain end-to-end data and model pipelines, including data preprocessing, model training, evaluation, deployment, and monitoring.

- Develop, optimize, and deploy ML/DL models for process optimization, predictive maintenance, and quality improvement in manufacturing environments.

- Implement and optimize models using ONNX and C++ for scalable, low-latency, production-grade inference.

- Develop internal Physical AI tools, including reinforcement learning?based controllers and predictive systems, to optimize and control real-world industrial processes.

- Collaborate with cross-functional teams to integrate ML/DL solutions into manufacturing systems and ensure stable and reliable operation.

- Perform data-driven analysis and visualization to extract actionable insights and support decision-making.

- Continuously research and explore new technologies to advance ML/DL and Physical AI capabilities in industrial AI applications.

- Performs other duties as assigned.

Requirements

Skills and Qualifications

- Master's degree in Computer Science, Electrical Engineering, Industrial Engineering, Statistics, or a related field.

- Strong background in Machine Learning and Deep Learning, with hands-on experience in model development, training, and deployment.

- Proficiency in Python and C/C++, with familiarity in ML/DL frameworks such as PyTorch, TensorFlow, or JAX.

- Practical experience in one or more of the following:

- Development of ML/DL models for optimization, predictive analytics, or process improvement.

- Deployment or scaling of ML/DL systems in production environments.

- Analysis of manufacturing or quality data using ML/DL techniques.

- Able to work in US without any Work Visa sponsor/transfer/Extension/ support, now and future

- Bilingual in English and Korean is a plus

Have at least one of the followings:

- Experience with SMT, semiconductor manufacturing, or other advanced production domains, with knowledge of domain-specific data and processes.

- Proficiency in deploying and optimizing models using ONNX, LibTorch, or similar frameworks.

- Strong analytical, problem-solving, and collaboration skills, with the ability to deliver real-world impact through ML/DL innovation.

Benefits

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)

- 401(k) retirement plan (Immediately 100% vested)

- Generous PTO and paid holidays