Robotics ML Engineer – Manipulation & Embodied AI

Keywords:

Learning from Demonstration (LfD) / Imitation Learning / Reinforcement Learning / Diffusion Policy / VLA / Embodied AI / Robot Learning / Isaac Sim / Isaac Lab / Sim-to-Real / Manipulation / ROS2

About the Company

Trubot Inc. is a robotics company focused on intelligent inspection robots and automation solutions for data center operations.

We build and deploy real robotic systems in industrial environments and are actively developing next-generation robotic manipulation capabilities for real-world automation tasks.

Our long-term focus includes robotic manipulation, embodied AI, learning-based autonomy, and intelligent robotic systems operating in large-scale industrial environments.

Role Summary

We are seeking a Robotics ML Engineer to develop learning-based robotic manipulation systems for real-world deployment.

This role focuses on robotic arms, robot learning, and embodied AI technologies that enable robots to acquire new skills from demonstration, simulation, and real-world interaction.

The ideal candidate combines strong machine learning expertise with hands-on robotics experience and is excited about bringing advanced AI methods onto physical robotic platforms.

Responsibilities

Robot Learning & Manipulation

• Design, develop, and optimize learning-based robotic manipulation policies
• Develop systems for grasping, insertion, tool usage, and other real-world manipulation tasks
• Integrate learned policies onto physical robot arms and mobile manipulation platforms
• Collaborate with robotics engineers to deploy manipulation systems in production environments

Learning Algorithms

• Develop and improve imitation learning, behavior cloning, reinforcement learning, and diffusion-based policies
• Explore VLA (Vision-Language-Action), Embodied AI, and foundation-model-based approaches for robotic manipulation
• Evaluate and improve policy robustness, task success rates, and generalization performance
• Analyze failure modes and continuously improve system reliability

Simulation & Data

• Build and maintain simulation environments using Isaac Sim, Isaac Lab, MuJoCo, or similar platforms
• Develop data collection pipelines through teleoperation and human demonstrations
• Manage training datasets and evaluation workflows
• Support sim-to-real transfer and deployment onto physical robotic systems

Real-World Deployment

• Deploy learned policies onto real robotic arms
• Debug and resolve sim-to-real performance gaps
• Work closely with hardware, sensing, and software teams
• Participate in system integration and field validation

Required Qualifications

• MS or PhD in Robotics, Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field
• Strong programming skills in Python and/or C
• Experience with ROS2 and robotic system integration
• Experience with robotic manipulation systems
• Experience with machine learning for robotics applications
• Familiarity with Linux development environments

Preferred Qualifications

Experience in one or more of the following areas:

• Learning from Demonstration (LfD)
• Imitation Learning (IL)
• Behavior Cloning
• Reinforcement Learning (RL)
• Diffusion Policy
• ACT (Action Chunking Transformer)
• VLA (Vision-Language-Action)
• OpenVLA
• Robot Foundation Models
• Isaac Sim
• Isaac Lab
• MuJoCo
• Sim-to-Real Transfer
• Teleoperation Systems
• Real-World Robot Deployment
• Multi-Modal Robot Learning
• Vision-Language Models for Robotics
• Embodied AI

What We Value

We are not looking for candidates who only publish papers or only work in simulation.

We highly value engineers who can bridge research and deployment, turning advanced robot learning algorithms into reliable real-world robotic systems.

Experience deploying robotic manipulation policies on physical robots is strongly preferred.

Location

Fremont, California (Onsite)

Application

We welcome applications from qualified candidates.

Please include "Robotics ML Engineer" in the email subject line.

Please submit your resume to:

info@trubot.ai