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Tcad Engineer Jobs (NOW HIRING)

Renesas Electronics

Device Design Engineer

Tempe, AZ · On-site

We are seeking a Device Design Engineer to develop cutting edge switching power MOSFETs for 12V to ... TCAD modeling and simulation * Device layout * Understanding of switched-mode power applications

Micron

Engineer NAND CMOS PI

Boise, ID

$192K/yr

Interface with Design Engineers to define transistor targets, deliver transistor models, and ... Work with TCAD simulation group to develop strategies for transistor structures to meet targets.

GlobalFoundries

Quantum PDK Engineer

New York, NY · On-site

$98K - $176K/yr

The engineer will work on compact modeling, device libraries, test chip development, and EDA ... Support compact model development, parameter extraction, and correlation across TCAD, silicon data ...

GlobalFoundries

Quantum PDK Engineer

New York, NY · On-site

$98K - $176K/yr

The engineer will work on compact modeling, device libraries, test chip development, and EDA ... Support compact model development, parameter extraction, and correlation across TCAD, silicon data ...

Globalfoundries

Quantum PDK Engineer

Malta, NY

$98K - $176K/yr

The engineer will work on compact modeling, device libraries, test chip development, and EDA ... Support compact model development, parameter extraction, and correlation across TCAD, silicon data ...

Globalfoundries

Quantum PDK Engineer

Essex Junction, VT

$98K - $176K/yr

The engineer will work on compact modeling, device libraries, test chip development, and EDA ... Support compact model development, parameter extraction, and correlation across TCAD, silicon data ...

Micron Technology

Engineer NAND CMOS PI

Boise, ID · On-site

$192K/yr

Interface with Design Engineers to define transistor targets, deliver transistor models, and ... Work with TCAD simulation group to develop strategies for transistor structures to meet targets.

Globalfoundries

Quantum PDK Engineer

Malta, NY

$98K - $176K/yr

The engineer will work on compact modeling, device libraries, test chip development, and EDA ... Support compact model development, parameter extraction, and correlation across TCAD, silicon data ...

Globalfoundries

Quantum PDK Engineer

Essex Junction, VT

$98K - $176K/yr

The engineer will work on compact modeling, device libraries, test chip development, and EDA ... Support compact model development, parameter extraction, and correlation across TCAD, silicon data ...

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Tcad Engineer information

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$36K

$105.1K

$173.5K

How much do tcad engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for tcad engineer in the United States is $105,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $128,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for a TCAD Engineer?

A typical day for a TCAD Engineer involves using specialized simulation tools to model and analyze semiconductor devices or processes, interpreting simulation results, and working closely with design, process, and device engineering teams to validate and optimize designs. You may also spend time preparing technical reports, troubleshooting simulation challenges, and participating in meetings to align on project goals. Collaboration with different departments is frequent, as your simulation insights directly influence product development and manufacturing strategies. This dynamic environment offers continuous learning and the opportunity to make a significant impact on innovative technology solutions.

What is a Tcad Engineer job?

A TCAD (Technology Computer-Aided Design) Engineer uses simulation tools to model semiconductor processes and device behavior. They analyze and optimize semiconductor fabrication steps, such as doping, etching, and lithography, to improve device performance. TCAD Engineers work closely with process and design teams to enhance manufacturing efficiency and reduce development costs. Their role is essential in developing next-generation semiconductor technology.

What are the key skills and qualifications needed to thrive in the Tcad Engineer position, and why are they important?

To thrive as a TCAD Engineer, you typically need a solid background in semiconductor physics, device modeling, and simulation, often supported by a degree in electrical engineering, materials science, or a related field. Experience with TCAD software tools like Synopsys Sentaurus, Silvaco Atlas, and familiarity with process/device simulation workflows are crucial, and relevant certifications can be a plus. Strong analytical thinking, problem-solving abilities, and clear communication skills help a TCAD Engineer collaborate effectively across multi-disciplinary teams. These competencies are essential for accurately simulating semiconductor devices, optimizing fabrication processes, and delivering reliable results in a fast-paced industry.

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Tcad Engineer jobs near you

Research Scientist I/II, Multiscale & Multiphysics Simulations

Lila Sciences

Cambridge, MA • On-site

Other

Re-posted 20 hours ago

Job description

Your Impact at LILA

Your role will focus on building next-generation in silico multiphysics and multiscale simulation capabilities that power AI-driven scientific discovery. You will develop high-fidelity digital representations of complex physical systems spanning chemical and mechanical processes, transport phenomena, and electromagnetic behavior and integrate them into autonomous discovery and experimental pipelines.

You will work on integrating simulation methods-such as finite element modeling, computational fluid dynamics, phase-field methods, and TCAD-style transport/process modeling-into scalable, programmatic, and agent-driven systems that enable real-time digital twins, simulation-informed decision-making, and autonomous closed-loop workflows

What You'll Be Building

  • Develop and deploy robust multiphysics models across coupled domains (e.g., thermal, fluid, structural, electromagnetic, chemical), using methods such as coarse-grained, mesoscale, FEM, and CFD techniques.
  • Build integrated multiscale frameworks that connect atomistic, mesoscale, and continuum representations to model materials and devices.
  • Design and implement programmatic, agent-driven simulation workflows that can autonomously configure, execute, and refine simulations within closed-loop discovery workflows.
  • Create scalable, GPU-accelerated simulation pipelines, data infrastructure, and interoperable APIs that connect commercial tools (e.g., COMSOL, ANSYS) and custom solvers deploying on cloud-based, high-throughput computing environments
  • Collaborate with AI, software, and automation teams to orchestrate and deploy closed-loop discovery workflows, integrating computational predictions with robotic and cloud-based laboratory platforms to enable automated experiment-simulation feedback cycles and accelerated R&D.

What You'll Need to Succeed

  • PhD in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field.
  • Extensive experience with multiphysics simulation methods and numerical algorithms, including FEM, CFD, TCAD/process simulation, mesoscale modelling, or related techniques.
  • Strong foundation in coupled physical phenomena, including heat transfer, fluid dynamics, structural mechanics, mass transport, diffusion, electromagnetism, and reaction kinetics.
  • Experience applying simulation to real-world systems in industrial settings such as semiconductors, chemical processing, aerospace, or materials manufacturing.
  • Solid programming skills in Python and building simulation workflows, automation pipelines, or custom numerical models.

Bonus Points For

  • Experience bridging atomistic simulations with one or more additional simulation domains including coarse-grained, finite-element and continuum models.
  • Familiarity with machine learning approaches applied to physical simulations (e.g., surrogate models, neural operators, physics-informed neural networks), along with experience leveraging GPU acceleration and programmatic optimization for scalable simulations
  • Experience integrating simulation frameworks into digital twin systems, real-time decision environments, or closed-loop control workflows.
  • Background applying simulation to complex materials and process domains such as thin-film deposition, micro/nano-fabrication, or reactive transport, with an understanding of processing-structure-property relationships.

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