AI Engineer - Automation/Robotics

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting‑edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands‑on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. In This Role 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. Key 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 Required Qualifications 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 Preferred Qualifications 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 Salary Range Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $52.88‑55.29 USD hourly. The salary/wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to View email address on click.appcast.io Benefits Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location Onsite in Redmond, WA. #J-18808-Ljbffr jobr.pro