Dexmate Tech Stack

Robotics and dexterity AI for autonomous manipulation systems

Robotics Engineering Santa Clara, CA 2–10 employees Founded 2024 Privately Held

Dexmate is a 2–10 person robotics engineering team founded in 2024, building simulation and training infrastructure for robot manipulation. The stack spans physics simulation (Abaqus, ANSYS, LS-DYNA, COMSOL, MuJoCo, PyBullet, Isaac Sim), deep learning frameworks (PyTorch, TensorFlow, JAX), and embedded systems (ROS 2, NVIDIA Jetson, C++, Rust). Active projects target sim-to-real transfer, dexterity enhancement, and end-to-end robot control—pain points cluster around scaling training infrastructure and advancing manipulation skills. Hiring is accelerating (19 open roles in 30 days) with a senior-heavy engineering focus, suggesting capital-backed product development rather than consulting.

Tech Stack 74 technologies

Core StackFigma Adobe Creative Cloud Python PyTorch TensorFlow C++ Rust Abaqus ANSYS LS-DYNA COMSOL OptiStruct ADAMS MuJoCo PyBullet LinkedIn ProtoPie iOS Android Jax Isaac Sim JAX ROS 2 CUDA NVIDIA Jetson Altium Eagle KiCad LTspice PSpice+44 more

What Dexmate Is Building

◆Challenges

Growing labor shortages
Inefficient cae methods
Weight optimization
Human-robot interaction design
Scaling training infrastructure
Advancing robot manipulation capabilities
Enhancing robot dexterity
Developing robust manipulation skills
Lab equipment maintenance
Lab safety compliance

▲Active Projects

Rl training pipelines
Prototype development
Next-generation manipulation robots
Novel approaches to enhance robot dexterity and mobility
Human-robot interaction models
Cross-platform design systems
End-to-end mobile and web experiences
Sim-to-real transfer
Production system integration
Planning and 3d navigation on real robots

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering

Design

Research

Data

Marketing

Sales

Seniority

Senior

Mid

Intern

Junior

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About Dexmate

Dexmate develops robotics software and AI systems for autonomous manipulation and dexterity. The company operates across simulation (physics engines and digital twins via Abaqus, ANSYS, MuJoCo), learning infrastructure (reinforcement learning pipelines using PyTorch and JAX), and hardware integration (ROS 2, Jetson deployment, real-robot testing). Current work spans prototype development, sim-to-real transfer methods, human-robot interaction modeling, and production system integration. The organization is based in Santa Clara, CA, with headcount under 10 and all hiring concentrated in the United States.

HeadquartersSanta Clara, CA

Company Size2–10 employees

Founded2024

Hiring MarketsUnited States

Frequently Asked Questions

What robotics simulation tools does Dexmate use?

Dexmate's stack includes Abaqus, ANSYS, LS-DYNA, COMSOL, MuJoCo, PyBullet, and NVIDIA Isaac Sim for physics simulation and digital twins.

What machine learning frameworks does Dexmate use?

Dexmate uses PyTorch, TensorFlow, and JAX for deep learning, alongside CUDA for GPU acceleration and custom C++/Rust for performance-critical paths.