AI Engineer - Automation/Robotics

Only External Postings•Redmond, WA

1d•$53 - $55•Onsite

About The Position

As an AI Engineer – Robotics, you will design, develop, and maintain advanced machine learning models and software systems that support cutting-edge embodied AI and robotics research. You will contribute to the development of robotic foundation models by combining AI model innovation with real-world robotic applications, including simulation and hardware integration. You will help transform research concepts into scalable, deployable systems by building training and evaluation pipelines, integrating robotic perception and control stacks, and enabling efficient deployment of algorithms in both simulated and physical environments. This role requires a strong engineering mindset, hands-on robotics experience, and the ability to work in a dynamic research-driven environment. You will collaborate closely with researchers, engineers, and stakeholders to advance state-of-the-art robotic learning systems while maintaining open-source contributions and supporting customer deployment efforts.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Robotics, or a related technical field
2–4 years of experience in software engineering, machine learning, or robotics
Minimum 2+ years of experience with Python
Minimum 2+ years of experience with PyTorch (or similar ML frameworks)
Minimum 2+ years of experience with ROS2 (Robot Operating System)
Strong foundation in computer science fundamentals, including data structures, algorithms, and software design
Experience with simulation environments or robotic hardware systems
Experience with debugging, unit testing, and maintaining both new and legacy systems
Proficiency in problem diagnosis and resolution in complex systems
Experience building or working with ML training pipelines and evaluation frameworks

Nice To Haves

Experience with robotic learning models such as vision-language-action models, reinforcement learning, or diffusion models
Familiarity with integrating simulation environments and benchmarking robotic systems
Experience working in robotics labs or academic research environments
Exposure to open-source robotics or AI projects
Experience deploying machine learning models in real-world or production environments
Strong collaboration skills in agile, research-focused teams
Ability to work onsite with specialized robotics equipment and systems

Responsibilities

Design, develop, and maintain machine learning models for robotics and embodied AI applications
Fine-tune and improve complex software implementations for robotic systems
Build and maintain training and evaluation pipelines using tools such as Azure Machine Learning
Analyze, curate, and refine datasets for robotic and AI model performance
Develop tools and frameworks for rapid deployment of algorithms in simulation and on robotic hardware
Integrate robotic control and perception systems with simulation environments
Architect and implement test automation infrastructure for robotics software
Troubleshoot, debug, and resolve issues across production and research systems
Support deployment efforts and assist with customer-related technical issues
Contribute to open-source robotics software and research initiatives
Collaborate with cross-functional teams to drive research impact and system performance
Document technical designs, workflows, and system improvements