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Opc Modeling Engineer Jobs in Austin, TX (NOW HIRING)

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Opc Modeling Engineer information

See Austin, TX salary details

$38.7K

$100.9K

$136.3K

How much do opc modeling engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for opc modeling engineer in Austin, TX is $100,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $115,500.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Opc Modeling Engineer jobs in Austin, TX?

For Opc Modeling Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Opc Modeling Engineer jobs in Austin, TX look for?

The top searched job categories for Opc Modeling Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Opc Modeling Engineer jobs?

Cities near Austin, TX with the most Opc Modeling Engineer job openings:

Opc Modeling Engineer jobs near you

Software Engineer, Facilities Pipeline

Fluidstack

Austin, TX • On-site

$120 - $210/hr

Other

Re-posted 4 days ago

Job description

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.

How We Operate

  • Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.

  • Velocity. We drive everything forward as fast as possible.

  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

Role Scope

  • Build the facilities data pipeline: ingestion, transformation, and serving of telemetry from every site.

  • Ship the connectors that speak the field's languages, BACnet, Modbus, OPC UA, and vendor APIs, reliably.

  • Own data quality in code: validation, gap detection, and backfill tooling.

  • Serve the consumers: clean APIs and datasets for dashboards, controls, and ML.

What We're Looking For

  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

  • You've shipped production data pipelines and owned them on call.

  • You've integrated with industrial protocols or ugly vendor APIs and made them reliable.

  • You test data code properly: correctness, latency, and gaps.

  • You debug across the stack, from a flatlined sensor to a slow query.

  • You work fast with modern tooling and AI-assisted development.

  • Bonus: Time-series systems. Go, Python, or TypeScript. Industrial and IoT data. Grafana ecosystems.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law.

Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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