Physical AI Engineer, Lead
About The Position
Booz Allen is hiring a lead Physical AI Engineer to advance autonomous systems, robotics, and embodied intelligence in support of national security, defense, and emerging-technology missions. The role leads multidisciplinary engineering teams and shapes technical strategy for autonomy, reinforcement learning, world modeling, simulation-to-real transfer, robotic perception, and embodied AI. It also partners with mission leaders to turn research into operational, production-grade capabilities. The engineer architects, develops, and deploys scalable Physical AI systems and multimodal AI capabilities for autonomous systems and embodied agents. The role translates research innovations into production-ready solutions, establishes engineering standards, mentors senior engineers, advises stakeholders on strategy and emerging technologies, and represents Booz Allen in technical and client engagements.
Requirements
- At least 8 years of experience developing AI, robotics, autonomous systems, or machine learning solutions.
- Experience delivering production AI systems from concept through deployment.
- Experience with one or more of reinforcement learning, imitation learning, robot learning, computer vision, planning, autonomous navigation, manipulation, sensor fusion, multimodal AI, or foundation models.
- Experience with Python, C++, and modern AI frameworks such as PyTorch, JAX, TensorFlow, or Ray.
- Experience with robotic middleware and simulators such as ROS, ROS2, Isaac Sim, MuJoCo, or Gazebo.
- Ability to obtain a Secret clearance.
- Master's degree.
Nice To Haves
- Experience publishing research in robotics, embodied AI, or machine learning.
- Experience with robot foundation models, world modeling, and digital twins.
- Experience in humanoid robotics, dexterous manipulation, or mobile robotics.
- Experience with distributed training, GPU acceleration, and edge or embedded deployment.
- Experience contributing to open-source AI or robotics ecosystems.
- Doctorate degree in computer science, robotics, AI, electrical engineering, or mechanical engineering.
Responsibilities
- Lead the architecture, development, and deployment of Physical AI systems for autonomous systems and embodied agents.
- Design and implement models for perception, planning, motion control, manipulation, navigation, and sensor fusion.
- Develop large-scale training pipelines using simulation, synthetic data generation, imitation learning, and reinforcement learning.
- Integrate multimodal AI, including vision, language, and action models, into real-world Physical AI platforms.
- Translate research innovations such as robot learning, foundation models, and world models into production-ready solutions.
- Mentor and guide senior engineers and establish engineering best practices and technical standards.
- Partner with business, research, and mission stakeholders to define strategy and assess emerging technologies.
- Represent Booz Allen in industry forums, technical exchanges, and client engagements.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
