About this role
About DexmateDexmate is building the foundation for physical AI — combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.
If you want to help shape the next layer of human capability — and believe the future of robotics should be built together, not in isolation — we'd love to build it with you.
The RoleAs 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.
ResponsibilitiesDevelop 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
Minimum QualificationsBachelor'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 QualificationsAdvanced 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