Principal Embodied AI Engineer

Job Description:

Join our Team: Principal Embodied AI Engineer, On-Site
Redmond, Washington

Join our team at Genie and embark on an exciting opportunity as we seek a skilled and dedicated Principal Embodied AI Engineer to contribute to the Genie team in Redmond.

At Genie we believe in fostering a vibrant and inclusive work culture where every person is empowered to thrive. We're dedicated to driving quality, innovation, embracing diversity, and creating an environment where everyone feels valued and respected. We're committed to excellence in everything we do, and we're seeking talented individuals who share our passion and values to join our team.

As a Principal Embodied AI Engineer, you will be a technical leader responsible for designing and implementing advanced AI systems for perception, control, and decision-making in Genie Lift’s intelligent equipment. You will collaborate across multidisciplinary teams to architect scalable, real-time AI solutions for autonomous and semi-autonomous industrial applications. This role requires deep expertise in AI, robotics, and embedded intelligence to push the boundaries of industrial automation. 

What you’ll do

• Define and lead the technical vision for AI-driven perception, control, and decision-making systems in Genie Lift’s intelligent machinery. 

• Architect and develop advanced machine learning and computer vision algorithms for object detection, pose estimation, and autonomous navigation. 

• Design AI-driven human-machine interaction (HMI) and adaptive control systems for safer and more intuitive operator experiences. 

• Lead research and development efforts on reinforcement learning, deep learning, and behavior-based AI for real-time embedded applications. 

• Optimize AI models for edge deployment, real-time processing, and power efficiency. 

• Guide the integration of AI with embedded systems, industrial IoT, and sensor fusion technologies. 

• Collaborate with cross-functional teams to ensure compliance with industrial safety standards and regulatory requirements. 

• Mentor and guide junior engineers and researchers in AI methodologies and best practices. 

• Contribute to patents, research publications, and industry thought leadership. 

What you’ll bring

• Master's or Ph.D. in Robotics, Computer Science, Electrical Engineering, Artificial Intelligence, or a closely related field. Equivalent professional experience may be considered in place of a formal degree.
• 7+ years of experience in AI-driven robotics, embodied intelligence, or autonomous systems development. 

• Strong proficiency in Python and C++, with experience in ROS (Robot Operating System) and real-time embedded systems. 

• Deep knowledge of reinforcement learning, computer vision, sensor fusion, and motion planning algorithms. 

• Strong leadership, problem-solving, and technical mentorship abilities. 

Preferred Qualifications 

• Experience with AI safety, explainable AI, and human-robot collaboration. 

• Expertise in SLAM (Simultaneous Localization and Mapping), path planning, and advanced control systems. 

• Knowledge of industrial safety standards (ISO 13849, ANSI B56.5, etc.). 

• Experience deploying AI models to the cloud and edge computing environments. 

• Previous leadership experience in an AI, robotics, or automation-focused team. 

• Experience with industrial automation, autonomous mobile robots (AMRs), or heavy machinery. 

• Track record of designing and deploying AI models in production environments. 

• Experience developing training models for physics based simulation in tools such as Isaac Sim 

• Experience working with the Nvidia Jeston family 

• Deep understanding of design tradeoffs and uses between manipulator designs 

• Deep understanding of the design and function of a 7 DOF robotic arm 

• Deep understanding of AI model selection, training and optimization techniques 
  Familiarity with industrial automation, autonomous mobile robots (AMRs), or heavy machinery 

• Understanding version control (Git), unit testing, debugging, and performance optimization. 

• 5+ years experience of Supervised & Unsupe