AI Robotics Engineer Job Redmond area,Washington USA,Software Development

Job Description

Team Red Dog is hiring an AI Robotics Engineer for our client, a world-class innovation client and AI-driven technology organization advancing the future of embodied AI and robotic foundation models. In this hands-on engineering role, you'll develop machine learning pipelines, integrate robotic simulation environments, and deploy AI models that bridge cutting-edge research with real-world robotic systems. Working alongside leading researchers, you'll help advance open-source robotics software, improve model performance, and contribute to technologies shaping the next generation of intelligent autonomous systems.

This is an exceptional opportunity for engineers with robotics, machine learning, and software development experience who want to make a measurable impact on groundbreaking AI research.

Top Required Skills (Must Haves):

Python (2+ years) – Develop machine learning pipelines, automation tools, robotics software, and production-quality code supporting research initiatives.

PyTorch (2+ years) – Train, fine-tune, evaluate, and optimize robotics foundation models, vision-language-action models, and other deep learning architectures.

ROS2 (2+ years) – Integrate robotic perception and control systems with simulation environments and physical robotic hardware.

Robotics Simulation & Machine Learning – Experience working with simulation environments or robotic hardware, including reinforcement learning, diffusion models, or robotic AI workflows.

Opportunity Overview:

Join a research team pushing the boundaries of embodied AI and robotic foundation models. This role combines software engineering, machine learning, robotics, and cloud-based model development to help create intelligent robotic systems capable of learning from both simulation and real-world environments. You'll collaborate with world-class researchers, contribute to open-source robotics platforms, and directly influence technologies that are advancing the future of robotics research.

How you will make an impact:

Develop, fine-tune, and maintain AI and machine learning 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.

The expertise you bring:

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 ROS
2.
Strong computer science fundamentals including algorithms, data structures, and software design.
Experience working with robotic simulation environments or robotic hardware.
Experience troubleshooting, debugging, unit testing, and supporting production software systems.
Experience developing machine learning models using frameworks such as PyTorch or Tensor Flow.
Familiarity with Azure Machine Learning or similar cloud-based ML platforms is…