Overview
ABOUT MIND
Full job description
ABOUT MIND Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion. ABOUT THE ROLE As a CAE Engineer at Mind Robotics, you will be the primary authority on how our robot stands up to the physical world. From high-torque manipulation to locomotion impact, you won’t just run simulations, you will own the structural integrity, stiffness, and dynamic performance of the entire system (arms, torso, base, and end effectors) from napkin sketch to mass production. RESPONSIBILITIES
- Own structural CAE across the robot. Arms, torso, base, and end effectors — from concept through production validation.
- Build and analyze FE models from component level to full-system assemblies: linear and non-linear static analysis for strength, stiffness, and deflection, including bolted joints, contact, and buckling.
- Perform dynamic analyses — modal, frequency response, transient, and shock / impact, covering structural resonances, base-induced vibration during locomotion, and collision events during manipulation.
- Use multibody dynamics (MBD) to derive structural load cases from real task duty cycles, including sustained static-hold and fault conditions, and flow them into component FEA and fatigue analysis.
- Own the arm and torso stiffness budget and predict tip deflection and torsional compliance and their impact on end-effector positioning accuracy.
- Correlate models with physical test (strain gauges, accelerometers, modal testing) and establish modeling standards, load-case libraries, and CAE best practices for the company. QUALIFICATIONS
- 5+ years of experience (or equivalent "hard tech" projects) performing structural FEA on complex electromechanical systems.
- Strong first-principles fundamentals in stress / strain, structural dynamics, and vibration . Ability to sanity-check every model with hand calculations.
- Proficiency in linear and non-linear static, dynamic, and modal simulation using tools such as Abaqus, Ansys, OptiStruct / HyperWorks, Nastran, or LS-DYNA.
- Experience with MBD tools (Adams, Simpack, or similar) and scripting (Python, MATLAB) for load derivation and workflow automation.
- Track record of correlating FE models against physical test data and driving design changes from the results.
- Hands-on problem-solving approach with the ability to iterate quickly.
- You are comfortable with ambiguity, move fast, and have an "engineering curiosity" that drives you to understand how the entire system works, not just your part. BONUS
- Experience in robotics, humanoids, EV structures, aerospace, or other mass- and stiffness-critical systems.
- Fatigue / durability tooling (FE-Safe, nCode DesignLife) or transmission and strain-wave gearing analysis.
- Topology optimization, surrogate modeling, or large-scale DOE experience.
- PhD or research experience in structural mechanics or dynamics.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v2
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Mind Robotics (ashby) ↗Browse current Job and Scholarship listings from Mind Robotics (ashby) →