---
title: 'Robotics Engineer at Dexmate'
canonical: 'https://feeny.ai/job/robotics-engineer-dexmate-singapore-9eregzn9cbp8'
type: 'job'
last_seen: '2026-09-06'
---

# Robotics Engineer at Dexmate

- **Company:** Dexmate
- **Location:** Singapore
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-29
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/dexmate/13277e25-0b93-40aa-b180-5dd50c11faaa/application

**Skills:** C++, Python, Robotics Hardware, Firmware, Software, Sensor Integration, Actuator Integration, IMUs, Encoders, Force/Torque Sensors, Oscilloscope, Multimeter, Logic Analyzer, CAN, Ethernet, USB, MIPI, GMSL, Computer Vision, Perception Systems

> Dexmate is seeking a Robotics Engineer to deliver reliable, safe, and capable robots at scale. The role involves working across mechanical, electrical, firmware, and software boundaries to bring up, integrate, and harden robot systems, diagnosing issues on real hardware and feeding findings back into architecture an...

## Job description

Dexmate is building the foundation for physical AI — a unified platform that combines high-quality robotic hardware 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.

## RESPONSIBILITIES

As a Robotics Engineer, you'll play a central role in delivering reliable, safe, and capable robots at scale. You'll work across mechanical, electrical, firmware, and software boundaries to bring up, integrate, and harden our robot systems — diagnosing issues on real hardware and feeding those findings back into our architecture, manufacturing, and QA processes.

- Deploy and validate learned policies and control algorithms on physical robots — integrate models into the real-time control stack, tune for real-world performance, and close the loop between policy, controller, and hardware
- Integrate and test robotic systems end-to-end, spanning both actuation and perception hardware
- Triage and debug cross-disciplinary issues across mechanical, electrical, firmware, and software layers
- Bring up, characterize, and evaluate key components such as sensors, actuators, IMUs, encoders, and force/torque sensors
- Help define component and subsystem performance requirements, and build test plans that ensure reliable operation across diverse tasks and environments

## MINIMUM QUALIFICATIONS

- 3+ years of experience working with complex robotic or electromechanical systems, deployed on real hardware
- Bachelor's or Master's in Robotics, Mechanical/Electrical Engineering, Computer Science, or related field
- Proficiency in C++ and/or Python
- Strong system-level understanding of robotics hardware, firmware, and software layers
- Hands-on experience with sensor and actuator integration and characterization (IMUs, encoders, force/torque sensors, motors)
- Deep familiarity with standard diagnostic tools (oscilloscope, multimeter, logic analyzer)
- Proven track record bringing up and validating systems on physical robots — not just in simulation

## PREFERRED QUALIFICATIONS

- Deep experience with communication protocols including CAN, Ethernet, USB, MIPI, GMSL
- Experience calibrating computer vision and perception systems
- Familiarity with real-time computing constraints: deterministic execution, and latency budgets
- Experience with simulation environments such as MuJoCo, or Isaac Sim
- Background with legged, manipulating, or humanoid robots — dynamic, contact-rich systems

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## 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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