CAE Automation Engineer / Forward Deployed Engineer

LER TechForce, LLC.; Detroit (MI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Full benefits

Job summary

LER TechForce is seeking a CAE Automation Engineer / Forward Deployed Engineer to support automotive and industrial clients. The role focuses on mapping end-to-end CAE workflows, automating pre-processing, meshing and design exploration using Python-based pipelines and the Neural Concept platform.

On-site deployment spans the Midwest (Detroit area) and West Coast (Bay Area), with direct collaboration with customer engineering teams and ongoing knowledge transfer to client staff.

Qualifications

• Bachelor's degree in mechanical, aerospace or computational engineering, plus 3+ years of relevant professional experience.

Responsibilities

• Map customers' end-to-end CAE workflows, from CAD and pre-processing through simulation, post-processing and design review.
• Create agent skills for orchestration of downstream CAE tools such as HyperMesh and ANSA, automating pre-processing, meshing and setup tasks.
• Define and configure engineering workflows using Design Copilot on the Neural Concept platform.
• Integrate workflows with customer tools (CAD, CAE solvers, PLM, HPC or cloud environments).
• Build Python pipelines that connect each step of the workflow, including preparing simulation data where predictive models are part of the chain.
• Set up design exploration and optimization loops within the workflow, alongside existing CAE tools.
• Validate workflow outputs against simulation and test data, and communicate results and limits clearly.
• Train customer engineers so they can run and extend workflows independently.
• Feed field insights back to Neural Concept product and engineering teams.
• Produce technical documentation, progress reports and results presentations for customers.

Skills

Python scripting

CAE automation

HyperMesh

ANSA

Design Copilot

CAD

PLM

Git

OpenFOAM

Education

Bachelor's degree in mechanical, aerospace or computational engineering

Tools

HyperMesh

ANSA

Ansys Fluent/Mechanical

STAR-CCM+

Abaqus

LS-DYNA

OpenFOAM

ParaView

Job description

We are seeking a CAE Automation Engineer / Forward Deployed Engineer to support our client in Detroit Metro, MI.

WHO WE ARE

LER TechForce is a WBENC-certified women-owned engineering services and workforce solutions provider supporting customers across North America. We specialize in embedded systems, software, functional safety, and mechanical engineering, helping organizations move critical product development initiatives forward with the right expertise.

With over 20 years of experience, we partner closely with our customers to deliver engineering support when and where it matters most.

Learn more about us: https://www.linkedin.com/company/ler-techforce/

WHAT YOU WILL BE DOING

Our Client is seeking a CAE Automation Engineer / Forward Deployed Engineer in 2026 with a CAE background and strong Python and workflow automation skills, to be placed on site in the Midwest (Metro Detroit) and West Coast (Bay Area).

The FDE captures customers' end-to-end CAE workflows, from CAD and pre-processing through simulation, post-processing and design decisions, and turns them into automated, repeatable Engineering AI workflows on the Neural Concept platform. Neural Concept is an AI-native platform that sits on top of the existing engineering stack (CAD, CAE, PLM) and embeds physics-aware AI into design and simulation workflows.

FDEs work directly with customer engineering teams in automotive, aerospace, energy and industrial equipment. They own deployments end to end: mapping how the customer's engineers work today, orchestrating the downstream CAE tools in that chain, and handing over a workflow the customer's engineers can run and evolve themselves. Predictive models are one step within that workflow, not the goal in themselves.

Key responsibilities

• Map customers' end-to-end CAE workflows, from CAD and pre-processing through simulation, post-processing and design review.
• Create agent skills for agentic orchestration of downstream CAE tools such as HyperMesh (HM) and ANSA, automating pre-processing, meshing and setup tasks.
• Define and configure engineering workflows using Design Copilot on the Neural Concept platform.
• Integrate workflows with customer tools (CAD, CAE solvers, PLM, HPC or cloud environments).
• Build Python pipelines that connect each step of the workflow, including preparing simulation data where predictive models are part of the chain.
• Set up design exploration and optimization loops within the workflow, alongside existing CAE tools.
• Validate workflow outputs against simulation and test data, and communicate results and limits clearly.
• Train customer engineers so they can run and extend workflows independently.
• Feed field insights back to Neural Concept product and engineering teams.
• Produce technical documentation, progress reports and results presentations for customers.

WHAT YOU'LL NEED

• Bachelor's degree (or higher) in mechanical, aerospace or computational engineering, applied physics, or a related field, plus 3+ years of relevant professional experience.
• 5+ years of hands-on simulation in at least one domain: CFD, structural FEA, crash, thermal or NVH.
• Working knowledge of at least one solver suite (e.g. Ansys Fluent/Mechanical, STAR-CCM+, Abaqus, LS-DYNA, OpenFOAM, Nastran) and pre/postprocessing (e.g. ANSA, HyperMesh, ParaView).
• Strong, production-quality Python for scripting, tool automation and API integration; clean code with Git.
• Experience automating CAE processes end to end, e.g. scripting pre-processors (HyperMesh, ANSA), batch solver runs and post-processing.
• Comfortable with meshes, point clouds and field data (e.g. VTK, STL, OBJ, solver result formats).
• Experience working directly with technical stakeholders and presenting results.
• Fluent English, written and spoken.
• Clear communicator who can explain workflow results to simulation engineers and managers alike.
• Self-directed and comfortable with ambiguous, evolving customer problems.
• Pragmatic: delivers working results quickly, then iterates.
• Collaborative with both customer teams and internal product and R&D teams.

Preferred:

• Experience with LLM agents, tool calling or agent frameworks.
• Design optimization and design of experiments (Bayesian optimization, genetic algorithms, DoE).
• CAD scripting and parametric modeling (e.g. CATIA, NX, SolidWorks, Onshape APIs).
• Familiarity with machine learning in engineering contexts, such as predictive models trained on simulation data.
• Cloud and HPC: Docker, Linux, job schedulers (Slurm), AWS/Azure/GCP.
• Prior consulting, solutions engineering or field application engineering experience.
• Industry exposure in automotive, aerospace, turbomachinery, electronics cooling or energy.

WHAT YOU'LL GET

• Full benefits: medical, dental, vision, HSA and FSA
• 401K with a match and immediate vesting
• Short-term & long-term disability, life insurance
• Employee Assistance Program
• Employee Discounts
• Opportunity to work on industry leading projects