8 months ago

Computational Scientist, Structural & Thermal

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Develop, validate, accelerate, and integrate high-fidelity multiphysics models of semiconductor-relevant processes to support AI planning, autonomous lab operations, and engineering decisions. Collaborate across computational science, AI, automation, process engineering, and customer-facing teams to deliver physics-based insights and datasets for ML training, with a roadmap to scale simulation workflows for Periodic Labs’ semiconductor programs.

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Build and apply multiphysics models for semiconductor-relevant systems, including thermal, mechanical, fluid, electromagnetic, plasma, chemical reaction, and materials processes, often in coupled settings.
•Model priority problems such as flip-chip underfill capillary flow and void formation, thermo-mechanical wafer stress and warpage, thin-film deposition, plasma chamber behavior, thermal budgets, process-induced deformation, magnetic or superconducting materials behavior, and other customer-driven physical systems.
•Use high-fidelity simulation tools such as COMSOL, ANSYS, Abaqus, Fluent, Lumerical, Sentaurus, OpenFOAM, MOOSE, or comparable platforms where appropriate, while also helping decide when custom solvers, reduced-order models, or surrogate models are needed.
•Validate models against experimental and process data. You will work with experimentalists and engineers to compare simulations against measurements, estimate uncertain parameters, understand failure modes, and decide when a model is ready to guide real decisions.
•Generate physically meaningful simulated datasets for ML training. Your simulations will help train AI systems in regimes where experiments are expensive, slow, or difficult to run.

Pay and Benefits

Salary: USD 160,000 - 220,000 annually

Key Requirements

•A PhD, MS, or equivalent experience in mechanical engineering, chemical engineering, materials science, electrical engineering, applied physics, aerospace engineering, or a closely related discipline.

Experience:SemiconductorMaterials scienceAI

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solving

Languages:English

Tech Stack:COMSOLANSYSAbaqusFluentLumericalSentaurusOpenFOAMMOOSEPython

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Periodic Labs

Periodic Labs (periodic.com) — Public information about this company’s products, industry focus, size, funding, and headquarters is not available. Check the company’s official profiles or contact them directly for accurate details about their offerings and operations.

Industry: Other

Website

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Periodic Labs

8 months ago

Computational Scientist, Structural & Thermal

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Build and apply multiphysics models for semiconductor-relevant systems, including thermal, mechanical, fluid, electromagnetic, plasma, chemical reaction, and materials processes, often in coupled settings.
•Model priority problems such as flip-chip underfill capillary flow and void formation, thermo-mechanical wafer stress and warpage, thin-film deposition, plasma chamber behavior, thermal budgets, process-induced deformation, magnetic or superconducting materials behavior, and other customer-driven physical systems.
•Use high-fidelity simulation tools such as COMSOL, ANSYS, Abaqus, Fluent, Lumerical, Sentaurus, OpenFOAM, MOOSE, or comparable platforms where appropriate, while also helping decide when custom solvers, reduced-order models, or surrogate models are needed.
•Validate models against experimental and process data. You will work with experimentalists and engineers to compare simulations against measurements, estimate uncertain parameters, understand failure modes, and decide when a model is ready to guide real decisions.
•Generate physically meaningful simulated datasets for ML training. Your simulations will help train AI systems in regimes where experiments are expensive, slow, or difficult to run.

Pay and Benefits

Salary: USD 160,000 - 220,000 annually

Key Requirements

•A PhD, MS, or equivalent experience in mechanical engineering, chemical engineering, materials science, electrical engineering, applied physics, aerospace engineering, or a closely related discipline.

Experience:SemiconductorMaterials scienceAI

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solving

Languages:English

Tech Stack:COMSOLANSYSAbaqusFluentLumericalSentaurusOpenFOAMMOOSEPython

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Periodic Labs

Industry: Other

Website