Job VC

Webxloo, LLC is an international software development company that was founded in 2005 in Tampa, Florida USA. With employees globally with the common goal: “Building Your Online Universe”..
We are looking for a talented professional to develop the AI-powered humanoid Kinetic robotics system customized for automotive retail and wholesale services with real-world operational use cases.
This role is fundamental in connecting our proprietary management software running on large language model (LLM) agents to physical kinetics robotic appliances through robotics middleware ROS1/ROS2, real-spaceal simulation environments, embedded control systems, and real humanoid platforms.
The ideal candidate will have strong hands-on robotics engineering experience involving autonomous robot behavior, robotic navigation, manipulation systems, and sim-to-real deployment workflows for humanoid robots operating in dynamic real-world environments. Experience working with Unitree humanoid robots, Unitree G1/G2/H2, Figure 02/03, NEO 1X and Agibot Yuanzheng A2 platforms, will be given higher consideration.

Tech Stack:
Python, ROS, ROS 1, ROS 2, OpenClaw / ROSClaw, Isaac Sim, NVIDIA Omniverse, MuJoCo, Gazebo, LLM APIs (Claude / OpenAI), Unitree SDK2, DDS (CycloneDDS), NVIDIA Jetson, STM32, Linux (Ubuntu), Git, MATLAB, CAD tools

Responsibilities:
Building workflow and processes in simulation application with multi-level testing
Integrate an existing LLM agent with ROS2-based robotic systems and middleware architectures
Design and implement tool-calling interfaces that translate AI outputs into physical robot actions and autonomous robotic behaviors
Build, configure, and maintain robotics simulation environments (Isaac Sim / MuJoCo / Gazebo / NVIDIA Omniverse) with emphasis on real-space simulation accuracy and sim-to-real deployment readiness
Develop and test humanoid robot behaviors in simulation, including navigation, object manipulation, environmental interaction, and household or real-world task automation workflows
Work with Unitree humanoid robotics platforms, including Unitree G1/G2/H2, Figure 02/03, NEO 1X and Agibot Yuanzheng A2 robots, for integration, behavior testing, motion control, and real-world deployment validation
Debug, iterate, and improve robot control logic, autonomy systems, perception pipelines, and middleware communication architectures
Support sim-to-real transfer, including calibration, hardware validation, locomotion tuning, and performance optimization on physical humanoid robots
Collaborate closely with hardware, embedded systems, AI, and robotics engineering teams to ensure seamless system integration between simulation and real-world robotic environments
Assist in robotic navigation, localization, motion planning, and manipulation system development for autonomous task execution
Collaborate on low-level hardware interaction and onboard compute integration using platforms such as NVIDIA Jetson and STM32-based systems
Contribute to robotics software architecture decisions for scalable AI-driven humanoid robotics deployment
Support robotics prototyping, kinematic analysis, motion system validation, and system testing workflows using MATLAB and CAD-based development processes
Assist in sensor integration, actuator control, robotic perception systems, and robotics communication layers across ROS / ROS 1 / ROS 2 ecosystems
Participate in real-world robotic deployment testing involving autonomous learning workflows and physical environment interaction

Required Skills & Qualifications:
Strong several years experience with ROS2 (topics, services, actions, TF2) and familiarity with broader ROS / ROS 1 robotics ecosystems
Proficiency in Python (async programming, APIs, system integration)
Hands-on experience integrating AI/LLM systems with real-world robotic or automation applications
Strong experience with robotics simulation tools such as Isaac Sim, MuJoCo, Gazebo, or NVIDIA Omniverse
Real-space simulation experience involving autonomous robotic systems and sim-to-real validation workflows
Understanding of robot kinematics, locomotion systems, motion planning, robotic navigation, localization, manipulation systems, and sensor feedback loops
Experience developing or deploying autonomous robotic behaviors in real-world environments
Experience working with Linux (Ubuntu) environments
Strong debugging, robotics middleware, and distributed system integration skills
Familiarity with onboard robotic compute platforms such as NVIDIA Jetson
Exposure to embedded systems, microcontroller integration, or hardware communication protocols
Good English communication skills (minimum B1/B2 level)

Preferred / Advantageous Experience:
Experience working with Unitree robotics platforms and Unitree SDKs
Hands-on experience with Unitree G1, G2, and H2 humanoid robots
Experience developing humanoid robot behaviors involving locomotion, navigation, manipulation, or autonomous task execution
Familiarity with OpenClaw or similar robotic manipulation frameworks
Prior sim-to-real transfer experience in robotics projects
Knowledge of reinforcement learning (RL) in robotic control systems and autonomous learning workflows
Experience with household robotics, service robotics, or real-world robotic task automation systems
Experience with AR/VR systems, haptics integration, or immersive robotics simulation workflows
Exposure to humanoid robotics, dexterous manipulation systems, or embodied AI platforms
Experience with embedded systems development using STM32 or related microcontroller platforms
Familiarity with VHDL or low-level hardware interfacing for robotics and control systems
Experience using MATLAB for robotics modeling, simulation, or algorithm development
Familiarity with CAD tools and robotics prototyping workflows
Experience deploying robotics or AI workloads on NVIDIA-based edge computing platforms
Experience working in fast-paced startup or R&D environments

What we offer:
A role within a company with a strong track record of innovation and success
Diverse AI and automation projects that offer broad learning opportunities
Room for career growth, skill expansion, and leadership development
A collaborative international environment with a focus on cutting-edge robotics, AI, simulation, autonomous systems, and humanoid robotics technologies
Opportunity to work on next-generation humanoid robotics systems integrating AI agents, robotics middleware, real-space simulation environments, autonomous learning systems, and real-world robotic deployment
Direct exposure to advanced humanoid robotics platforms including Unitree robotic systems and real-world autonomous robotics applications

Job requirements:
High-speed Internet (100 / 100 Mbps upload and download speeds), noise-cancelling headset (headphones with microphone), and a high-quality video conferencing camera to participate with clients and company management.

Candidates must have AI certification from Anthropic (Claude) or equivalent accreditation institutions, demonstrating practical experience in developing with COWORK, AGENTS, SKILLS, LLM, workflows, automations, or other AI solutions. Link for the required courses:
https://claude.com/resources/courses
or equivalent.
Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools