---
title: 'Robot Learning Engineer at Dexmate'
canonical: 'https://feeny.ai/job/robot-learning-engineer-dexmate-fremont-79zhvhfnzp3q'
type: 'job'
last_seen: '2026-11-08'
---

# Robot Learning Engineer at Dexmate

- **Company:** Dexmate
- **Location:** Fremont, CA
- **Compensation:** $100k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-12-15
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/dexmate/aa3a9b20-0a00-4ec2-a9de-b5062e1cde68/application

**Skills:** Python, PyTorch, TensorFlow, JAX, Reinforcement Learning, Imitation, Behavior Cloning, Deep Learning, Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, Robot Simulation, Vision-language models, Foundation models, Sim-to-real transfer, Domain randomization, Distributed training, MLOps

> Design and implement state-of-the-art learning algorithms for robot manipulation, navigation, and control. Develop novel approaches to enhance robot dexterity and mobility using reinforcement learning and imitation learning. Collaborate with hardware and systems engineers to scale ML systems and deploy solutions on...

## Job description

## 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

We are looking for Robot Learning Engineers to build the learning systems that give our robots new skills. You will design and deploy reinforcement learning, imitation learning, and foundation-model approaches for manipulation, navigation, and control — from simulation through deployment on physical robots.

## Responsibilities

- Design and implement state-of-the-art learning algorithms for robot manipulation, navigation, and control—from simulation to deployment on physical systems
- Develop novel approaches to enhance robot dexterity and mobility using reinforcement learning, imitation learning, and foundation models, etc.
- Scale ML systems for large-scale model training and fine-tuning.
- Build diverse, robust manipulation skills that push the boundaries of what robots can do
- Collaborate closely with hardware, controls, and systems engineers to create integrated solutions

## Minimum Qualifications

- PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; OR Master's degree with 1+ years industry experience; OR Bachelor's degree with 3+ years industry experience
- 2+ years of hands-on experience developing AI systems for robotics applications
- Deep expertise in modern robot learning techniques (reinforcement learning, imitation learning, behavior cloning, etc.)
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)
- Proven experience conducting real robot experiments and debugging complex robotic systems
- Experience with robot simulators (Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, or similar)
- Excellent problem-solving abilities and strong communication skills
- Genuine passion for robotics and building products that work in the real world

## Preferred Qualifications

- Publications at top robotics/ML conferences (RSS, CoRL, ICRA, IROS, NeurIPS, ICLR, etc.)
- Experience with vision-language models or foundation models for robotics
- Familiarity with sim-to-real transfer techniques and domain randomization
- Experience with distributed training and MLOps infrastructure
- Background in manipulation, grasping, or mobile manipulation
- Track record of taking research from prototype to production

## 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)

## Other roles at Dexmate

- [Motor Electromagnetic Design Engineer, Robotics](https://feeny.ai/job/motor-electromagnetic-design-engineer-robotics-dexmate-fremont-agz51zepyg16) — Fremont, CA
- [Senior Electrical Engineer, Robot Controller Hardware](https://feeny.ai/job/senior-electrical-engineer-robot-controller-hardware-dexmate-fremont-5638zmeqk5q5) — Fremont, CA
- [Mechanical Design Engineer, Robotic Actuators](https://feeny.ai/job/mechanical-design-engineer-robotic-actuators-dexmate-fremont-gh6tjne887yn) — Fremont, CA
- [Motor Drive & Power Electronics Engineer, Robotics](https://feeny.ai/job/motor-drive-power-electronics-engineer-robotics-dexmate-fremont-vfpzntz7n7mz) — Fremont, CA
- [Embedded Motor Controls Engineer, Robotics](https://feeny.ai/job/embedded-motor-controls-engineer-robotics-dexmate-fremont-amak6sek2jrg) — Fremont, CA
- [Thermal Engineer, Robotic Actuators](https://feeny.ai/job/thermal-engineer-robotic-actuators-dexmate-fremont-6c218eftfjt4) — Fremont, CA
- [Senior Manufacturing Engineer, Robotics](https://feeny.ai/job/senior-manufacturing-engineer-robotics-dexmate-fremont-n5djqvgfd8xw) — Fremont, CA
- [Robotics Field Engineer, Physical AI](https://feeny.ai/job/robotics-field-engineer-physical-ai-dexmate-fremont-05awzkx7ytby) — Fremont, CA
- [Electrical Test & Validation Engineer, Robotics](https://feeny.ai/job/electrical-test-validation-engineer-robotics-dexmate-fremont-mmb5v8xrhqda) — Fremont, CA
- [Embedded Systems Engineer, Robotics](https://feeny.ai/job/embedded-systems-engineer-robotics-dexmate-fremont-ecqss4dfys92) — Fremont, CA