AI Robotics Engineer: Embodied AI & Robotic Systems

Team Red Dog; Redmond (WA); On-site; USD 114,000 - 128,000; Full time

Benefits offered by this job

Health insurance

Employer-matched 401K plan

Paid time off

Paid holidays

Job summary

Team Red Dog is hiring an AI Robotics Engineer for our client, a world-class innovation organization advancing embodied AI and robotic foundation models.

In this hands-on role, you will develop ML pipelines, integrate simulation environments, and deploy AI models that bridge research with real-world robotic systems, collaborating with leading researchers and contributing to open-source robotics platforms.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical discipline.
• 2–4 years of professional or equivalent academic experience in AI, robotics, machine learning, or software engineering.
• Minimum 2 years of professional experience with Python.
• Minimum 2 years of professional experience using PyTorch.
• Minimum 2 years of professional experience with ROS2.
• Strong CS fundamentals including algorithms, data structures, and software design.
• Experience with robotic simulation environments or robotic hardware.
• Experience troubleshooting, debugging, unit testing, and supporting production software systems.
• Experience developing ML models using PyTorch or TensorFlow.
• Familiarity with Azure Machine Learning or similar cloud-based ML platforms is preferred.
• Experience with reinforcement learning, diffusion models, vision-language-action models, or robotic foundation models is highly desirable.

Responsibilities

• Develop, fine-tune, and maintain AI and ML models supporting robotics research.
• Design and improve automation infrastructure for robotics testing and model evaluation.
• Build and maintain training and evaluation pipelines using Azure Machine Learning.
• Analyze, prepare, and refine training datasets for robotics and embodied AI applications.
• Develop deployment tools that rapidly transition new algorithms from simulation to robotic hardware.
• Integrate robotic perception and control stacks with simulation frameworks.
• Benchmark robotics foundation models across simulation and real-world environments.
• Troubleshoot software issues, debug production systems, resolve customer deployment challenges, and support open-source robotics software.
• Collaborate within an agile research environment to deliver features, evaluations, documentation, and technical improvements.

Skills

Python (2+ years)

PyTorch (2+ years)

ROS2 (2+ years)

Robotics Simulation & ML

Education

Bachelor's degree in CS/CE/Robotics

Tools

Azure Machine Learning

Job description

Team Red Dog is hiring an AI Robotics Engineer for our client, a world-class innovation organization advancing embodied AI and robotic foundation models.

In this hands-on role, you will develop ML pipelines, integrate simulation environments, and deploy AI models that bridge research with real-world robotic systems, collaborating with leading researchers and contributing to open-source robotics platforms.