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Micro Electronics Engineering Jobs in California

Crane Company

Electrical Engineer III/IV

Burbank, CA · On-site

BA or BS Degree in an engineering discipline. Masters or PhD preferred. Knowledge: * Analog Circuit Design * Digital Circuit Design * Micro-Electronics Design * High Power Circuit Design * VHDL ...

TEKBERRY

Micro-Deburr Specialist

Santa Rosa, CA · On-site

$100/hr

... electronics manufacturer, in Santa Rosa, CA. As a W2 employee you will have access to health ... Developing new procedures and techniques with the aid of machinists and engineers. * Operating a ...

Samsung Electronics

CPU Micro-architect

San Jose, CA

$151K - $251K/yr

Joining our team means collaborating alongside talented engineers from diverse technical ... Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse ...

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All JobsMicro Electronics Engineering JobsMicro Electronics Engineering Jobs in California

Micro Electronics Engineering information

What does a microelectronics engineer do?

A microelectronics engineer designs, develops, and tests small electronic components and circuits, such as integrated circuits and semiconductors. They often work with CAD tools, analyze electrical performance, and ensure manufacturing processes meet specifications. Their work supports the creation of devices like computers, smartphones, and other electronic systems.

Is microelectronics engineering a good career?

Microelectronics engineering is a specialized field focused on designing and developing electronic components at a microscopic scale, such as integrated circuits and semiconductors. It offers strong job prospects due to the ongoing demand for advanced electronic devices and requires skills in physics, materials science, and CAD tools. The field often provides competitive salaries and opportunities for innovation in industries like consumer electronics, telecommunications, and aerospace.

What is the difference between Micro Electronics Engineering vs Electrical Engineering?

AspectMicro Electronics EngineeringElectrical Engineering
FocusDesign and development of microelectronic devices and integrated circuitsGeneration, transmission, and distribution of electrical power, systems, and devices
Required CredentialsBachelor's or Master's in Microelectronics, Electrical Engineering, or related fieldsBachelor's or Master's in Electrical Engineering or similar
Work EnvironmentResearch labs, semiconductor companies, tech firmsPower plants, manufacturing, consulting firms
Industry UsageSemiconductor industry, consumer electronics, aerospaceEnergy, manufacturing, telecommunications

Micro Electronics Engineering and Electrical Engineering share foundational knowledge but differ in focus. Micro Electronics Engineers specialize in microchips and integrated circuits, while Electrical Engineers work on broader electrical systems and power. Both roles require similar educational backgrounds and are vital across various industries.

What are popular job titles related to Micro Electronics Engineering jobs in California? For Micro Electronics Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Micro Electronics Engineering jobs in California look for? The top searched job categories for Micro Electronics Engineering jobs in California are:
What cities in California are hiring for Micro Electronics Engineering jobs? Cities in California with the most Micro Electronics Engineering job openings:
Micro Electronics Engineering jobs near you

Intermediate R&D Engineer

Cesna Recruitment

San Diego, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

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

Apply