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Opc Modeling Engineer Jobs in California (NOW HIRING)

Senior Data Engineer

Berkeley, CA · On-site

$90K - $100K/yr

Build reliable ETL/ELT workflows to ingest, process, and model operational and sensor-generated ... OPC UA * DAQ systems * Sensor, telemetry, or time-series data Experience with reporting tools such ...

Key ResponsibilitiesRTDS / RSCAD Modeling Develop and configure project-specific RTDS and RSCAD ... Experience with industrial communication protocols such as DNP3, Modbus TCP, IEC 61850, OPC UA, or ...

PSCAD and Dynamic Modeling • Develop, review, and validate PSCAD models to support project ... OPC UA, or similar protocols. • Ability to read and interpret electrical one-lines, network ...

... and proprietary models - to ensure that every decision is strategic, focused, and produces ... will update the OPC schedule daily. This reporting tool will keep Property Developers and ...

... and proprietary models - to ensure that every decision is strategic, focused, and produces ... will update the OPC schedule daily. This reporting tool will keep Property Developers and ...

... and proprietary models - to ensure that every decision is strategic, focused, and produces ... will update the OPC schedule daily. This reporting tool will keep Property Developers and ...

... and proprietary models - to ensure that every decision is strategic, focused, and produces ... will update the OPC schedule daily. This reporting tool will keep Property Developers and ...

Data Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

Model telemetry, quality events, work orders, and operational data into datasets with explicit ... Experience with industrial or edge data collection using OPC-UA, MTConnect, MQTT, historians, PLCs ...

New

The work model for the role is: #Li_Onsite You will be mainly accountable for: * Evaluate, selects ... Knowledge on Third party Communication like MODBUS, OPC Etc. * Experience in any ABB systems like ...

New

Office/Field Engineer

Wasco, CA · On-site

$90K - $110K/yr

OSHA 10/ OSHA 30 * OPC/P6 * Passion and enthusiasm for transit projects and heavy civil ... Award-winning contractor with a dynamic business model and an excellent reputation. * We are a 100 ...

OSHA 10/ OSHA 30 * OPC/P6 * Passion and enthusiasm for transit projects and heavy civil ... Award-winning contractor with a dynamic business model and an excellent reputation. * We are a 100 ...

Showing results 21-40

Opc Modeling Engineer information

What are the key skills and qualifications needed to thrive as an OPC Modeling Engineer, and why are they important?

To thrive as an OPC Modeling Engineer, you need a strong background in semiconductor physics, computational modeling, and a relevant engineering or science degree. Expertise in OPC software tools like Mentor Calibre or Synopsys, along with experience in scripting languages such as Python or Perl, is typically required. Analytical thinking, attention to detail, and effective cross-functional communication are vital soft skills for this role. These skills ensure precise photolithography models, efficient design-to-manufacturing processes, and seamless collaboration with design and fabrication teams.

What is the difference between Opc Modeling Engineer vs PCB Design Engineer?

AspectOpc Modeling EngineerPCB Design Engineer
Required CredentialsBachelor's in Electrical Engineering or related, knowledge of OPC standardsBachelor's in Electrical Engineering, Electronics, or PCB Design certifications
Work EnvironmentSemiconductor fabrication, EDA tool developmentElectronics manufacturing, product development
Industry UsageSemiconductor industry, IC manufacturingConsumer electronics, industrial equipment
Common Search/ComparisonYesNo

Opc Modeling Engineers focus on creating models for optical proximity correction in semiconductor manufacturing, working closely with EDA tools and chip fabrication. PCB Design Engineers develop printed circuit boards for electronic devices, emphasizing layout and electrical integrity. While both roles require electrical engineering knowledge, they serve different stages of electronic product development and are used in distinct industry segments.

What are some common challenges faced by an OPC Modeling Engineer when working with new process nodes?

OPC Modeling Engineers often encounter challenges such as adapting to the increasing complexity of advanced process nodes, where feature sizes become smaller and patterning requirements grow more demanding. Accurate model calibration becomes more time-consuming, requiring close collaboration with lithography, process, and design teams. Additionally, integrating new materials and technologies can introduce unforeseen variables, making continuous learning and flexible problem-solving essential for success in this role.

What is an OPC Modeling Engineer?

OPC Modeling Engineers are specialists who develop, calibrate, and maintain optical proximity correction (OPC) models used in semiconductor manufacturing. These engineers work to improve the fidelity of photolithography processes by simulating and correcting distortions that occur when transferring circuit patterns onto silicon wafers. Their expertise helps ensure that microchips are fabricated with high precision and yield, enabling the continued advancement of smaller and more complex semiconductor devices. OPC Modeling Engineers typically collaborate with process engineers, software developers, and design teams to optimize and implement OPC strategies.
What job categories do people searching Opc Modeling Engineer jobs in California look for? The top searched job categories for Opc Modeling Engineer jobs in California are:
What cities in California are hiring for Opc Modeling Engineer jobs? Cities in California with the most Opc Modeling Engineer job openings:

Senior Data Engineer

INFOTRON

Berkeley, CA • On-site

$90K - $100K/yr

Full-time

Posted 17 days ago


Job description

Job Title: Senior Data Engineer
Location: Berkeley, CA (Onsite – 5 Days/Week)
Employment Type: Contract/Full-Time
About the Role
We are seeking a Senior Data Engineer to join an innovative company in the industrial technology space. This is an opportunity to own and evolve a production data platform that powers operational insights, reporting, and engineering decision-making.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines that support production and engineering operations.
  • Build reliable ETL/ELT workflows to ingest, process, and model operational and sensor-generated data.
  • Collaborate with software, controls, and test engineering teams to deliver high-quality datasets for analytics and reporting.
  • Establish and maintain engineering best practices, including version control, CI/CD, automated testing, documentation, and code reviews.
  • Support and enhance cloud-based and on-premise data infrastructure.
  • Evaluate technologies and recommend scalable architectural improvements for the data platform.
  • Monitor production data workflows and troubleshoot performance or reliability issues.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline (Master's degree preferred).
  • 6+ years of hands-on experience building and supporting enterprise data platforms in production environments.
  • Strong expertise in:
  • Python
  • SQL
  • PostgreSQL
  • AWS (S3, RDS, IAM, VPC)
  • Apache Airflow
  • dbt
  • Docker
  • Git and CI/CD
  • Proven experience developing and maintaining production ETL/ELT pipelines.
  • Strong understanding of data modeling, query optimization, and engineering best practices.

Preferred Qualifications
Experience in one or more of the following industries:
  • Manufacturing
  • Industrial Automation
  • Robotics
  • Automotive
  • Aerospace
  • Semiconductor
  • Energy or Clean Technology
Experience working with:
  • Ignition
  • SCADA or Industrial Control Systems
  • Industrial Historian platforms
  • OPC UA
  • DAQ systems
  • Sensor, telemetry, or time-series data
Experience with reporting tools such as Power BI, Tableau, or Amazon QuickSight is an advantage.
What We're Looking For
  • Strong analytical and problem-solving skills.
  • Ability to make sound technical decisions and take ownership of complex data initiatives.
  • Comfortable working in a fast-paced, collaborative engineering environment.
  • Excellent communication skills with the ability to work across multiple technical teams.