4MP Inc

4MP Inc

Principal Simulation Systems Software Engineer

Company

4MP Inc

Role

Principal Simulation Systems Software Engineer

Job type

Full-time

Posted

18 hours ago

Salary

Not disclosed by employer

Job description

Principal Simulation Systems Engineer

Build the Simulation Backbone That Predicts, Explains, and Improves Manufacturing

Hybrid/Remote · HQ Allentown, PA · Seed Stage

At 4MP, we are building a new foundation for modern manufacturing.

We are creating systems that enable CNC machines to self-diagnose, self-correct, and continuously improve their performance — making First Part Right manufacturing a reality at scale.

This is not a simulation for visualization.

This is not academic modeling disconnected from production.

This is the engineering of high-value simulation systems that help interpret machine behavior, predict process outcomes, accelerate learning, and improve correction intelligence in real manufacturing environments.

Now, we are expanding our core technical team with a principal-level simulation engineer who can design, build, and deploy advanced simulation environments from first principles.

We are not looking for followers. We are looking for builders who thrive on frontier problems and take ownership of complex systems.

The Mission

Design and implement the simulation systems that model machine behavior, sensing interaction, geometric variation, process dynamics, and manufacturing outcomes — enabling 4MP to predict, validate, and improve autonomous correction strategies.

What You Will Build

  • Simulation environments for CNC process behavior and machine response
  • Virtual models of machining error sources and geometric deviation
  • Toolpath and machine kinematic simulation frameworks
  • Physics-informed process modeling systems
  • Digital twin environments for validation and testing
  • Simulation pipelines for synthetic data generation
  • Scenario testing frameworks for autonomous correction logic
  • Validation infrastructure linking simulation outputs to real-world measurement and machine data
  • Hybrid environments connecting simulation, machine physics, and AI learning systems

Role Nature: Principal-Level Simulation Leadership

This is a principal-level role combining deep simulation expertise with system-level engineering thinking.

You will serve as the technical authority for simulation systems within the 4MP platform and work closely with experts across geometry, machine physics, AI, software architecture, and CNC/CAM.

Your work will help create the virtual environments needed to test, explain, and improve how manufacturing systems behave before and during real production.

Who You Are

  • Recognized expert in engineering simulation, modeling, or computational systems
  • Experienced in building simulation frameworks from first principles
  • Comfortable working across physical systems, software, and applied mathematics
  • Strong systems engineering mindset
  • Thrives in ambiguous, frontier technical environments
  • Motivated by solving hard industrial problems with long-term impact

Technical Requirements (Must-Have)

  • Deep experience developing engineering simulation systems in production or advanced R&D environments
  • Strong background in physics-based modeling, numerical methods, and computational engineering
  • Experience modeling dynamic mechanical systems, geometric systems, or manufacturing processes
  • Experience with the simulation of motion systems, kinematics, tolerances, deformation, or process behavior
  • Strong programming skills in Python and at least one performance-oriented language such as C++, Rust, or Julia
  • Experience with simulation tools, custom solvers, or numerical modeling environments
  • Strong understanding of validation, uncertainty, model calibration, and comparison to real-world data
  • Ability to work closely with domain experts across machining, metrology, AI, and systems engineering
  • Experience designing robust technical infrastructure, not just isolated models

Experience & Education

Required

  • 10+ years of professional experience in simulation engineering, computational modeling, applied physics, or related technical fields
  • Demonstrated experience building and deploying simulation systems that inform real engineering decisions
  • Bachelor’s degree in Mechanical Engineering, Physics, Applied Mathematics, Aerospace Engineering, Computer Science, or related field — or equivalent experience

Preferred

  • Master’s or PhD in Mechanical Engineering, Computational Engineering, Applied Physics, Robotics, or related discipline
  • Experience in CNC machining, manufacturing systems, robotics, or precision engineering
  • Experience with digital twins, multiphysics systems, or simulation-driven optimization
  • Experience working in multidisciplinary engineering teams
  • Familiarity with machine tools, motion control, geometric error modeling, or process prediction

Strong Plus

  • Experience with machining simulation or virtual process verification
  • Experience in modeling geometric error propagation and tolerance behavior
  • Experience with digital twins in industrial environments
  • Experience coupling physics models with AI or optimization systems
  • Knowledge of machine kinematics, tool/workpiece interaction, or metrology systems
  • Experience with simulation for control, prediction, or autonomous systems

Why This Role Matters

  • Creates the virtual backbone for testing and improving correction logic
  • Helps predict manufacturing behavior before parts are cut
  • Accelerates learning by reducing dependence on trial-and-error in production
  • Enables scalable validation across machines, programs, and conditions
  • Builds a defensible simulation foundation for autonomous manufacturing

Why Join Now

This is the phase where the simulation foundation of 4MP will be defined.

Your work will shape how we model reality, test correction strategies, and connect physics, geometry, and intelligence into one manufacturing system.

Joining now means helping build the virtual engine behind a new generation of self-improving production.

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