---
title: 'Developer Advocate Engineer at Dexmate'
canonical: 'https://feeny.ai/job/developer-advocate-engineer-dexmate-fremont-3jkevcs4f32g'
type: 'job'
last_seen: '2026-09-06'
---

# Developer Advocate Engineer at Dexmate

- **Company:** Dexmate
- **Location:** Fremont, CA
- **Compensation:** $100k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-22
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/dexmate/5a0cb1d6-688c-492b-b1c5-f9e672d39d60/application

**Skills:** Python, Machine Learning, Model Training, Model Fine-tuning, Model Inference Optimization, ML Infrastructure, GitHub, Discord, Vision-language-action models, Embodied AI, Sim-to-real transfer, Isaac Sim, MuJoCo, Drake, Genesis, Edge Hardware Deployment, Embedded Hardware Deployment, Open Source Contribution

> The Developer Advocate Engineer bridges the gap between AI/ML developers and Dexmate's physical AI platform by building sample projects, writing tutorials, and maintaining SDK documentation. This role involves hands-on engineering tasks like model training and inference optimization, paired with creating educational...

## 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

Many developers have never deployed a model that moves something in the physical world. The gap between "it works in training" and "it works on a robot" is enormous.

That's your job.

You'll be the person who helps AI/ML developers understand what happens when their models leave the data center and run on a humanoid robot: latency constraints, sensor noise, sim-to-real transfer, on-device inference, closed-loop control, etc. You'll build the sample projects, write the tutorials, and create the content that makes Dexmate the platform serious AI engineers choose when they want to work on physical AI.

This is an engineering role first. You write code every week. The talks and tutorials come from building, not the other way around.

## What you'll do

- Build and publish sample projects that show AI/ML engineers how to train, fine-tune, and deploy models on the Dexmate platform.
- Write and publish technical tutorials weekly — step-by-step guides, architecture explainers, and deployment walkthroughs written for engineers who know ML but are new to physical AI.
- Own the SDK documentation for AI/ML workflows: quickstart guides, API reference, Python SDK samples, kept current within 48 hours of any platform change.
- Answer developer questions daily in Discord and GitHub Discussions — no question unanswered within 24 hours.
- Build reference integrations with foundation AI model providers and publish architecture guides for running their models on Dexmate robots.
- Speak at AI/ML conferences 3–4 times per year — NeurIPS, ICLR, ICML, CoRL, and similar.
- Run live demos for developers, partners, and enterprise prospects.
- Surface model integration friction and missing platform capabilities to engineering weekly.

## Who you are

- You write Python fluently and have real ML engineering experience — model training, fine-tuning, inference optimization, or ML infrastructure. You've shipped models that ran in production.
- Curious about the physical world. You don't need a robotics background, but you find the question "what happens when this model controls a robot arm" genuinely interesting, not intimidating.
- You've published technical content that got traction — a GitHub repo people starred, a tutorial people bookmarked, a blog post that circulated in ML communities. Show us.
- You write code other engineers want to copy. Clean, documented, opinionated about the right way to do things.
- You can write a clear getting-started guide for a developer who just signed up and give a credible technical talk to a room of ML researchers. Same depth, different registers.
- 3+ years of ML engineering experience — model development, training infrastructure, inference, or MLOps
- You publish on a schedule. The failure mode this role avoids is someone who plans great content but never ships it.

Strong bonus:

- Experience with vision-language-action models or embodied AI research
- Hands-on sim-to-real transfer work
- Isaac Sim, MuJoCo, Drake, or Genesis familiarity
- Existing technical blog, GitHub, or YouTube with real traction
- Open-source ML contributions
- Experience deploying models on edge or embedded hardware

If you've ever wanted to be the person who explains physical AI to the world — this is that job.

## 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

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- [Lab Operations Specialist](https://feeny.ai/job/lab-operations-specialist-dexmate-fremont-d2xzhhgzxe8n) — Fremont, CA
- [Technical Program Manager, Software Platform](https://feeny.ai/job/technical-program-manager-software-platform-dexmate-fremont-kzwa1qa2q9n7) — Fremont, CA
- [Robotics Data Collection Operator](https://feeny.ai/job/robotics-data-collection-operator-dexmate-fremont-9gmkq9s3b2ff) — Fremont, CA
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