---
title: 'Senior Robotics Controls Engineer at Dexmate'
canonical: 'https://feeny.ai/job/senior-robotics-controls-engineer-dexmate-fremont-e3n1xer300hs'
type: 'job'
last_seen: '2026-11-08'
---

# Senior Robotics Controls Engineer at Dexmate

- **Company:** Dexmate
- **Location:** Fremont, CA
- **Compensation:** $100k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-03-01
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/dexmate/d0660439-787f-4902-814f-62a2d256fd9f/application

> Design, implement, and deploy state estimation and sensor fusion algorithms for real-time robot control. Develop advanced control algorithms for dynamic motion and trajectory optimization. Architect production-grade C++ control code and integrate algorithms across the full robot stack.

## 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 a Senior Robotics Controls Engineer to own state estimation and whole-body control for our robots. You will design, implement, and ship real-time control and estimation algorithms in production C++, and iterate rapidly between simulation and hardware to make our robots move with precision and stability.

## Responsibilities

- Design, implement, and deploy state estimation and sensor fusion algorithms for real-time general-purpose robot control — EKFs, UKFs, particle filters, factor graphs — fusing IMUs, encoders, force/torque sensors, and proprioceptive signals
- Develop and tune advanced control algorithms for dynamic robot motion: nonlinear control, model predictive control (MPC), optimal control, and whole-body control for legged and manipulating systems
- Architect and ship production-grade C++ control code running in real-time embedded environments; hold your implementations to the same quality bar as deployed software
- Iterate rapidly between simulation and hardware — design experiments, collect data, debug failure modes, and drive measurable performance improvements on physical robots
- Develop trajectory optimization and motion planning algorithms that respect actuator limits, contact constraints, and stability margins
- Define and maintain performance metrics and evaluation frameworks for control and estimation subsystems; own the failure analysis loop
- Work directly with embedded, mechanical, and AI teams to integrate control algorithms across the full robot stack

## Minimum Qualifications

- 5+ years of professional experience developing control systems for dynamic robots, deployed on real hardware
- Master's or PhD in Robotics, Controls, Mechanical Engineering, or related field
- Deep expertise in control theory: nonlinear control, MPC, LQR, optimal control, and whole-body control
- Strong state estimation background: Kalman filters (EKF/UKF), particle filters, factor graphs, and Bayesian estimation
- Production-quality C++ for real-time control; Python for analysis, simulation, and tooling
- Solid command of robot kinematics, rigid-body dynamics, and spatial mathematics
- Hands-on experience with sensor integration and characterization: IMUs, encoders, force/torque sensors
- Proven track record implementing and validating control algorithms on physical robotic systems — not just simulation

## Preferred Qualifications

- Experience with bipedal, quadruped, or humanoid robots — highly dynamic, underactuated, contact-rich systems
- Background in reinforcement learning or learning-augmented control for legged locomotion or manipulation
- Experience with whole-body control and contact dynamics: contact estimation, impact modeling, friction-cone constraints
- Familiarity with trajectory optimization frameworks and solvers: OSQP, IPOPT, Crocoddyl, or custom implementations
- Proficiency with simulation environments: MuJoCo, Drake, Isaac Sim, or equivalent
- Experience with real-time computing constraints: deterministic execution, latency budgets, and embedded deployment
- Track record of publications at top-tier venues (ICRA, IROS, CoRL, RSS, IJRR) is a strong plus

## 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