Periodic Labs

1 month ago

Forward Deployed Engineer, Physics & Simulation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Hands-on, high-ownership role building and running physics-based simulations to solve complex manufacturing problems, embedding with customer teams on-site, and coupling simulation outputs with ML-driven optimization to drive real-world process improvements.

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the simulation workflow end-to-end for customer engagements — from model setup and calibration to iterative recipe optimization and results interpretation
•Build, run, and debug physics-based simulations of complex physical processes, including multiphase flow, capillary dynamics, viscosity evolution, and curing behavior
•Collaborate directly with customer engineering teams on-site to understand process constraints, interpret simulation outputs, and translate findings into actionable process improvements
•Partner with internal ML and RL teams to couple simulation outputs with LLM-driven recipe generation, closing the loop between physics modeling and automated process optimization
•Develop and extend simulation tooling in Python, including scripting for job submission, parameter sweeps, output parsing, and integration with our Onnes platform

Travel: High travel

Pay and Benefits

Salary: USD 180,000 - 250,000 annually

Key Requirements

•Strong foundations in numerical simulation of physical systems (e.g., fluid dynamics, heat transfer, structural mechanics, electromagnetics)
•Hands-on experience building or running simulations solving partial differential equations, including mesh generation, solver tuning, and debugging numerical instabilities
•Proficiency in Python for scripting, automation, and scientific computing (NumPy, SciPy, or equivalent)
•A process engineering or physics mindset focused on physically meaningful results and real process questions
•Strong communication skills and ability to work directly with customer engineering teams on-site

Experience:PhysicsSimulationManufacturingAI

Skills:CommunicationProblem-solvingOn-site collaborationSelf-startingTeamwork

Languages:English

Tech Stack:PythonNumPySciPyOpenFOAMANSYS FluentStar-CCM+

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

1 month ago

Forward Deployed Engineer, Physics & Simulation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the simulation workflow end-to-end for customer engagements — from model setup and calibration to iterative recipe optimization and results interpretation
•Build, run, and debug physics-based simulations of complex physical processes, including multiphase flow, capillary dynamics, viscosity evolution, and curing behavior
•Collaborate directly with customer engineering teams on-site to understand process constraints, interpret simulation outputs, and translate findings into actionable process improvements
•Partner with internal ML and RL teams to couple simulation outputs with LLM-driven recipe generation, closing the loop between physics modeling and automated process optimization
•Develop and extend simulation tooling in Python, including scripting for job submission, parameter sweeps, output parsing, and integration with our Onnes platform

Travel: High travel

Pay and Benefits

Salary: USD 180,000 - 250,000 annually

Key Requirements

•Strong foundations in numerical simulation of physical systems (e.g., fluid dynamics, heat transfer, structural mechanics, electromagnetics)
•Hands-on experience building or running simulations solving partial differential equations, including mesh generation, solver tuning, and debugging numerical instabilities
•Proficiency in Python for scripting, automation, and scientific computing (NumPy, SciPy, or equivalent)
•A process engineering or physics mindset focused on physically meaningful results and real process questions
•Strong communication skills and ability to work directly with customer engineering teams on-site

Experience:PhysicsSimulationManufacturingAI

Skills:CommunicationProblem-solvingOn-site collaborationSelf-startingTeamwork

Languages:English

Tech Stack:PythonNumPySciPyOpenFOAMANSYS FluentStar-CCM+

Company Brief

Periodic Labs

Industry: Other

Website