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Dexmate

Senior CAE Engineer, Robotics

Fremont OfficeLocation unclear
Senior · FullTime · Engineering
POSTED 26 JUNVERIFIED 8H AGO
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Role
137 days opentrue age
Posted 26 Jun
Payats field
$100k–300kposted
▼ −2% vs market median $205k
$100k$300k
Market p25–p75
$182k–$229k
Dexmate p25–p75
$200k–$214kn=8
H-1B median · Software engineering
$149k
SF Bay Area · n=1042 · 365d to 6 Nov
CompanyDexmate →
38open roles
Opened · 30d
+4
Closed · 30d
−2
3d of snapshots · 30d window
Market
17,060open · Senior Software engineering
Opened · 7d
+9155% of open
All software engineering
75,152open
All tracked boards · live 10 Nov · n=17,060
Visa
13H-1B LCAs · FY26
Median wage
$132k
LCAs FY26 · n=13 · to 2026-06-23
Python

About Dexmate

Dexmate 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 Role

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.

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

Minimum 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)

Source · DexmateFirst seen 2 Nov1 editsOriginal ↗