Robotics CAE Engineer, Optimus

Tesla Germany GmbH

Prüm

Vor Ort

EUR 70.000 - 100.000

Vollzeit

14 Tage+

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Zusammenfassung

Tesla Germany GmbH is seeking an experienced CAE Engineer to guide the design of sensors and structural components for the Optimus humanoid robot. You will create high‑fidelity FE models and run static, dynamic, and MBD simulations across component to full‑system levels, collaborating with mechanical, electrical, controls, software, and manufacturing teams to enable data‑driven product decisions.

You will refine workflows, automate repeatable processes, and help establish modeling standards

Qualifikationen

  • Degree in Mechanical Engineering or equivalent experience required.
  • Strong foundation in Engineering Mechanics and Finite Element Theory.
  • Experience guiding structural, sensing, thermal, and mechanism designs through CAE.
  • Ability to build high‑fidelity FE models at multiple levels.
  • Proficiency in linear/non‑linear static, dynamic and modal simulations; multi‑physics workflows.
  • Knowledge of material modeling (nonlinear elasticity, viscoelasticity, creep).
  • Experience with major CAE tools and scripting for automation.
  • Fluent English, good communication, and willingness to travel internationally.

Aufgaben

  • Develop and analyze FE models for Optimus from components to full system.
  • Run static, dynamic, and MBD simulations to meet strength, stiffness, durability, and sensing requirements.
  • Refine simulation workflows; automate processes and documentation for accuracy.
  • Provide design guidance to cross‑functional teams for data‑driven decisions.
  • Collaborate with Test Engineering to validate simulations against experiments.
  • Establish and maintain CAE standards and best practices for programs.
  • Characterize materials and model advanced structural and sensing components.
  • Plan large‑scale DOEs and create ML‑driven surrogate models for insights.

Kenntnisse

FE Modeling
Multiphysics
Programming (Python)
Programming (MATLAB)
Communication
Team Collaboration
English Proficiency
Travel willingness

Ausbildung

Mechanical Engineering degree

Tools

BETA CAE
LS-DYNA
Abaqus
ADAMS
COMSOL
OPTISTRUCT
Design Life
FE Safe

Jobbeschreibung

What to Expect

The Tesla Robotics Team designs and builds humanoid bi‑pedal robots (Optimus) to perform tasks that are boring, repetitive, and dangerous for humans. As a CAE Engineer, you will guide the design of sensors and structural components using high‑fidelity FE models grounded in sound engineering principles. Working closely with mechanical, electrical, controls, software, and manufacturing teams, you’ll analyze and optimize designs, challenge traditional CAE methods, and pioneer more efficient, accurate approaches. This role places you at the forefront of critical design and engineering decisions, shaping a robust and reliable humanoid robot that has never been executed before.

What You’ll Do
  • Develop and analyze comprehensive Finite Element (FE) models for Optimus, from individual components to the full system
  • Conduct static, dynamic, structural and MBD simulations to evaluate and validate the performance against key requirements for strength, stiffness, durability and sensing
  • Build and refine simulation workflows to assess performance across diverse operating scenarios, automate processes, documentation, and tools to improve efficiency, accuracy, and repeatability
  • Provide design guidance to world‑class engineering teams, enabling data‑driven product decisions
  • Collaborate with Test Engineering to design and validate experiments, correlate test data with simulations, and enhance predictive modeling capabilities
  • Establish and maintain modeling standards, methods, and best practices for current and future programs
  • Material characterization and advanced modeling of structural and sensing components
  • Plan and execute large‑scale DOEs, creating ML driven surrogate models to extract insights to drive key design decisions
What You’ll Bring
  • Degree in Mechanical Engineering or a related field, or equivalent experience
  • Strong foundation in Engineering Mechanics, Computational Mechanics, Material Science, and Finite Element Theory and applications
  • Demonstrated ability to guide structural, sensing, thermal, and mechanism designs through CAE, from concept to mass production, across robotics, automotive, and consumer electronics
  • Expertise in building high‑fidelity FE models at component, sub‑system, and full‑system levels
  • Proficiency in linear and non‑linear static, dynamic and modal simulations and experience developing multi‑physics simulation workflows (e.g., thermal‑mechanical, mechanical‑electrical)
  • Advanced knowledge in material characterization and modeling, including nonlinear elasticity, viscoelasticity, creep, and strain‑rate dependent plasticity in Metals, Plastics, Polymers and Adhesives
  • Proficiency in CAE Tools such as BETA CAE, LS‑DYNA, Abaqus, ADAMS, COMSOL, OPTISTRUCT, Design Life, FE Safe
  • Strong programming and data analysis skills in MATLAB, Python, or equivalent
  • Excellent communication and interpersonal skills with the ability to collaborate effectively across cross‑functional teams
  • Ability to communicate at a professional level in English language, both verbally and written
  • Ability to travel internationally on a regular basis

Tesla is an Equal Opportunity / Affi­mative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.

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