---
title: 'Senior CAE engineer at Dexmate'
canonical: 'https://feeny.ai/job/senior-cae-engineer-dexmate-fremont-dbad6rzjd2mh'
type: 'job'
last_seen: '2026-09-06'
---

# Senior CAE engineer at Dexmate

- **Company:** Dexmate
- **Location:** Fremont, CA
- **Compensation:** $100k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-26
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/dexmate/e0e358ce-6fcb-433b-8fe0-f67e900d8c35/application

**Skills:** Finite Element Analysis (FEA), CAE tools, Abaqus, ANSYS, LS-DYNA, COMSOL, OptiStruct, Solid mechanics, Structural dynamics, Material science, Implicit finite element analysis, Explicit finite element analysis, Static analysis, Dynamic analysis, Durability analysis, Experimental validation, ADAMS, MuJoCo, PyBullet, Python

> Design and validate mechanical systems for next-generation manipulation robots using high-fidelity finite element models. Collaborate with multidisciplinary teams to optimize structural designs, conduct simulations, and support root cause analysis for production issues.

## 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

## About Dexmate

## Company Overview
- **One-liner**: Dexmate builds general-purpose robots with manipulation capabilities, integrating custom hardware with AI models for robotic operation.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: Santa Clara, California, United States
- **Founded**: 2024
- **Founders**: Tao Chen (Co-Founder, CEO), Yuzhe Qin (Co-Founder, CTO), Chongyang Wang (Co-Founder)

## Core Business
- Primary industry/industries: Robotics Engineering, Artificial Intelligence, Automation
- Target customers: B2B (enterprise, logistics, manufacturing, and research organizations)
- Mission or purpose statement: "Building tomorrow's intelligence and automation."

## Products & Services
- **[Vega]**: A general-purpose mobile robot with high-payload arms, dexterous hands, a foldable torso, and an omnidirectional base. The robot is powered by custom-built hardware integrated with AI models for physical robotic operation.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding raised via a Seed Round (closed ~March 2026) with participation from LG Technology Ventures as a lead investor.
- **Notable Investors/Partners**: LG Technology Ventures (lead investor), LG CNS (strategic partner for building Physical AI infrastructure for smart logistics).
- **Growth Signals**: Headcount grew +328.6% year-over-year (from ~4 to 18 employees). LinkedIn followers grew +67.8% yearly. In April 2026, launched the "Dexmate Build with Vega U Research Grant Program," selecting six research teams to receive a Vega robot. Strong hiring momentum with 11 active job postings as of mid-2026.

## Competitive Advantages
- **Integrated Hardware + AI Stack**: Designs custom high-payload arms, dexterous hands, and omnidirectional bases specifically for AI-driven manipulation, creating a tight hardware-software moat.
- **Physical AI Focus**: Differentiating by building "Physical AI" that moves beyond lab settings into real-world logistics and manufacturing, as evidenced by the partnership with LG CNS.
- **Rapid Scaling**: Demonstrated ability to grow headcount and attract top-tier talent from institutions like Carnegie Mellon University, UC San Diego, and companies like NVIDIA and Bosch.

## Strategic Focus
- **Physical AI Infrastructure**: Partnering with LG CNS to build the infrastructure that enables Physical AI to operate in smart logistics and manufacturing environments.
- **Research & Ecosystem**: Grant programs to seed the research community with Vega robots, driving platform adoption and innovation.
- **Talent Acquisition**: Aggressively hiring across engineering (AI, robotics, embedded systems), design, product management, and business development to scale the team.

## Why Work Here
- **Mission-Driven**: Opportunity to work on cutting-edge general-purpose robotics and Physical AI, moving technology from labs to real-world impact.
- **Engineering-Heavy Culture**: 60% of employees are in technical roles (AI, robotics, software, hardware), with a strong emphasis on hands-on building.
- **Fast-Growing Startup**: ~328% headcount growth in one year, indicating high trajectory and opportunity for early employees to have outsized impact.
- **Location**: HQ in Santa Clara, CA (Silicon Valley), with an in-office work policy (on-site workspace).
- **Compensation**: Engineering roles list salary ranges like $100K–$300K, competitive for the robotics/AI space.
- **Notable Culture Signals**: "Build with us" hiring language, active LinkedIn community (4,273 followers), and a focus on "smile, reach out, and instantly connect" suggests a collaborative, builder-oriented environment.

## Sources
1. [dexmate.ai](https://www.dexmate.ai/)
2. [jobs.ashbyhq.com/dexmate](https://jobs.ashbyhq.com/dexmate)
3. [builtin.com/company/dexmate](https://builtin.com/company/dexmate)
4. [craft.co/dexmate](https://craft.co/dexmate)
5. [linkedin.com/company/dexmate](https://www.linkedin.com/company/dexmate)

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