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Computational Modeling Simulation Multiphysics Jobs in Texas

... computational scientists and software engineers, with a hub in Milan and plugged into Viridien ... We develop industry-leading technology for the analysis and multidimensional integrated modeling ...

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ... computational cost in decision-making processes (e.g., optimization, inverse problems, data ...

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ... computational cost in decision-making processes (e.g., optimization, inverse problems, data ...

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ... computational cost in decision-making processes (e.g., optimization, inverse problems, data ...

Maintain canonical robot models and the validation tooling that protects them from regressions ... Coursework or project experience with robotics simulation, computational geometry, or computer ...

Maintain canonical robot models and the validation tooling that protects them from regressions ... Coursework or project experience with robotics simulation, computational geometry, or computer ...

Senior Hardware Engineer

Austin, TX · On-site

$130.60K - $182.20K/yr

Develop and apply novel simulation and experimental methods to enable and optimize advanced ... This includes scalable multiphysics models to predict system-level performance, reliability, and ...

Develop and apply novel simulation and experimental methods to enable and optimize advanced ... This includes scalable multiphysics models to predict system-level performance, reliability, and ...

Develop and apply novel simulation and experimental methods to enable and optimize advanced ... This includes scalable multiphysics models to predict system-level performance, reliability, and ...

Responsibilities : • Own math modeling, simulation, and algorithm development for optical ... computational efficiency • Demonstrated passion for building hardware (hacking on personal ...

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Computational Modeling Simulation Multiphysics information

What are the key skills and qualifications needed to thrive as a Computational Modeling Simulation Multiphysics Engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Texas? For Computational Modeling Simulation Multiphysics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Texas look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Texas are:
What cities in Texas are hiring for Computational Modeling Simulation Multiphysics jobs? Cities in Texas with the most Computational Modeling Simulation Multiphysics job openings:
Senior/Principal Engineer with Signal/Power Integrity, Multiphysics, PDK/ADK Experience

Senior/Principal Engineer with Signal/Power Integrity, Multiphysics, PDK/ADK Experience

Nityo Infotech

Austin, TX • On-site

$165.50K/yr

Full-time

Posted 18 days ago


Job description

Role: Senior/Principal Engineer with Signal/Power Integrity, Multiphysics, PDK/ADK Experience

Location: Austin, TX (HYBRID)

Job Type: FULL TIME

MUST HAVE: SI/PI - Signal Integrity /Power Integrity, Multiphysics simulations, Advanced packaging, Heterogeneous integration platforms, multi-material packages, PDK/ADK simulation collateral Experience

Job Description:

What You’ll Do

  • Own and execute hands-on SI/PI and multiphysics simulations for advanced 2.5D/3.0D heterogeneous integration and multi-material packages.
  • Perform modeling, extraction, and verification of high-speed interconnects, power delivery networks, thermal management, and mechanical stress across chiplets and advanced substrates.
  • Build and validate comprehensive ADK/PDK models (electrical, EM, thermal, mechanical) that accurately represent package-level behavior and enable system-level co-design.
  • Run end-to-end simulation workflows including EM extraction, S-parameter generation, PDN impedance analysis, crosstalk/eye diagram simulations, thermal/structural reliability checks, and co-simulation across domains.
  • Collaborate directly with EDA vendors (Cadence, Ansys, Synopsys, Siemens, Keysight, etc.), OSATs, and foundries to develop, test, and refine package simulation flows.
  • Generate user guides, reference flows, scripts, and automation that make SI/PI/multiphysics enablement repeatable and accessible to design teams.
  • Stay current with next-gen interface standards (PCIe Gen6/7, CXL, UCIe, UALink, SerDes, HBM) and incorporate their requirements into package design methodologies.
  • Guide technical strategy for SI/PI flows, mentor junior engineers, and represent TIE in working groups, customer design reviews, and industry forums.

Required Qualifications:

  • BS in Electrical Engineering, Computer Engineering, Applied Physics, or related discipline.
  • 8+ years (Senior) / 12+ years (Principal) of direct, hands-on experience in signal integrity, power integrity, and multiphysics simulations for advanced packaging, 2.5D/3DIC, or heterogeneous integration platforms.
  • Strong expertise with EDA/EM/multiphysics tools: Ansys HFSS/SIwave, Cadence Sigrity/Clarity, Synopsys RaptorX, Siemens HyperLynx, Keysight ADS, COMSOL, CST Studio.
  • Proven ability to extract/package-level models (RLC, S-parameters, dielectric/thermal constants, warpage/stress data) and integrate them into design enablement flows.
  • Demonstrated experience creating and validating PDK/ADK simulation collateral spanning SI/PI, RF, thermal, and mechanical domains.
  • Hands-on scripting/automation skills (Python, Tcl, SKILL, etc.) to streamline simulation flows.
  • Startup DNA. You’re energized by ambiguity, act with urgency, and take personal ownership for outcomes. You make things happen.
  • Execution mindset. You have demonstrated experience working in a hands-on role driving progress across multiple initiatives without layers of management.
  • Location. Austin, Texas is preferred for close collaboration with our engineering teams and partners. Hybrid work arrangements may be possible with travel up to 30–50%.  Such arrangements are subject to University review and approval in relation to jurisdictional employment-related laws, rules, and regulations.

Preferred Qualifications:

  • MS or PhD in Electrical Engineering, Applied Physics, or related discipline.
  • Deep experience with multi-material packages (Si, glass, organics, Cu, RDL, TSV, hybrid bonding, etc.).
  • Expertise in system-level co-simulation spanning electrical, thermal, and mechanical domains for high-power/high-bandwidth-density packages.
  • Familiarity with industry standards (IEEE, JEDEC, OIF, UCIe, 3Dblox, JEP30) and experience contributing to working groups.
  • Background in high-speed interconnect modeling and compliance testing for PCIe, CXL, UCIe, SerDes, HBM, or similar standards.
  • Track record of technical publications, patents, or open-source contributions in SI/PI/multiphysics simulation and design enablement.