Principal Embodied AI Engineer

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. Were dedicated to driving quality innovation embracing diversity and creating an environment where everyone feels valued and respected. Were committed to excellence in everything we do and were 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 Lifts 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 youll do

• Define and lead the technical vision for AI-driven perception control and decision-making systems in Genie Lifts 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 youll bring

• Masters 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 & Unsupervised Learning Classification regression clustering dimensionality reduction.

• 5 years experience of Neural Networks & Deep Learning Understanding architectures like CNNs RNNs LSTMs Transformers.

• 5 years experience of Reinforcement Learning Used in robotics and autonomous decision-making.

• 5 years experience of ML Frameworks & Libraries TensorFlow PyTorch scikit-learn OpenCV.
• Expertise in machine learning frameworks such as TensorFlow PyTorch or OpenCV.

Why Join Us

• We are a global company and our culture is defined byour Values Integrity Respect Improvement Servant Leadership Courage and Citizenship. Check out this video! The Terex purpose
• Safety is an absolute way of life. We expect all team members to prioritize safety and commit to Zero Harm.
• Our top priority is creating an inclusive environment where every team member feels safe supported and valued.
• We make a positive impact by providing innovative solutions engaging our people and operating in a sustainable way.
• We are committed to helping team members reach their full potential.
• Through innovation and collaboration our vision remains forward-looking and we aim to be a catalyst for change inspiring others tobuild a better world for generations.
• For more information on why Terex is a great place to work click on the link! Careers Terex Corporate

The salary range for this position is $209000-$265000 annually. Pay is based on several factors including but not limited to education work experience certifications etc.

This above description is non-exhaustive and there may be additional duties in accordance with the role.

If you are interested in an open position but feel you may not meet all the listed qualifications we still encourage you to apply.