Senior CAE engineer - Santa Clara

Only for registered members Santa Clara, United States

1 day ago

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What You'll Do · As a CAE Engineer on the Dexmate Robotics team, you will be at the forefront of designing and validating mechanical systems for our next-generation manipulation robots. You'll guide design decisions using high-fidelity finite element models grounded in sound engi ...
Job description

What You'll Do

As a CAE Engineer on the Dexmate Robotics team, you will be at the forefront of designing and validating mechanical systems for our next-generation manipulation robots. You'll guide design decisions using high-fidelity finite element models grounded in sound engineering principles, working closely with mechanical, electrical, controls, software, and manufacturing teams to bring unprecedented robotic capabilities to life.

Core Responsibilities:

  • Develop and analyze comprehensive finite element models for robotic systems, from individual components to full assemblies

  • Conduct static, dynamic, structural, and multi-body dynamics (MBD) simulations to evaluate performance against key requirements for strength, stiffness, durability, and manipulation accuracy

  • Guide mechanical design teams with actionable insights and design direction based on rigorous analysis

  • Optimize structural designs to minimize weight while maximizing stiffness, reliability, and performance under real-world operational loads

  • Define and analyze load cases for manipulation tasks, impacts, handling scenarios, and day-to-day operations

  • Validate FEA models through experimental testing and iterate based on physical performance data

  • Challenge traditional CAE methods and pioneer more efficient, accurate approaches for robotic systems

  • Collaborate with controls engineers to understand dynamic load profiles and system-level performance requirements

  • Support root cause analysis and failure investigation for production issues

  • Develop CAE workflows, best practices, and documentation to scale analysis capabilities across the team

What You'll Bring

Required Qualifications:

  • Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Applied Mechanics, or related field with 5+ years of experience OR Master's degree with 3+ years of experience OR PhD in designing and analyzing mechanical systems using FEA and CAE tools

  • 3+ years of experience in designing and analyzing mechanical systems using FEA and CAE tools

  • Strong fundamentals in solid mechanics, structural dynamics, and material science

  • Proficiency in CAE software (Abaqus, ANSYS, LS-DYNA, COMSOL, OptiStruct, or equivalent)

  • Experience with both implicit and explicit finite element analysis

  • Demonstrated ability to conduct static, dynamic, and durability analyses

  • Strong understanding of mechanical design principles and ability to translate analysis into actionable design recommendations

  • Experience with experimental validation methods and correlation between simulation and physical testing

  • Excellent communication skills and ability to collaborate effectively across multidisciplinary teams

  • Self-motivated problem solver who can work independently on challenging technical problems

Preferred Qualifications:

  • Advanced degree (MS/PhD) in Mechanical Engineering or related field

  • Experience in robotics, automation, or mechatronics industries

  • Proficiency with multi-body dynamics simulation (ADAMS, MuJoCo, PyBullet)

  • Experience analyzing aluminum structures, composites, and advanced materials

  • Knowledge of advanced joining methods (adhesives, welding, mechanical fasteners)

  • Expertise in non-linear analysis, contact mechanics, and material characterization

  • Proficiency in programming/scripting for automation (Python, MATLAB)

  • Experience with CAD software (SolidWorks, OnShape, CATIA, NX, etc.)

  • Familiarity with structural dynamics, vibration analysis, and modal testing

  • Experience with thermal-structural coupling and multi-physics simulations

  • Understanding of manufacturing processes and design for manufacturability

  • Knowledge of fatigue analysis and life prediction methodologies



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