Physical AI Engineer, Lead
$112.8k - $257kBooz Allen Hamilton
Physical AI Engineer, Lead The Opportunity: Advance the future of autonomous systems, robotics, and embodied intelligence. As a Physical AI leader, you will shape, design, and deploy next generation robotic and multimodal AI capabilities that support some of the most complex missions in national security, defense, and emerging technology. At Booz Allen, you will lead multidisciplinary engineering teams, build scalable physical AI systems, and drive technical strategy across autonomy, reinforcement learning, world modeling, simulation to real transfer, robotic perception, and embodied AI. You will also partner with mission leaders to turn cutting‑edge research into operational, production‑grade capabilities. Join us. The world can’t wait. What You'll Work On:
- 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.
- 8+ years of experience developing AI, robotics, autonomous systems, or machine learning solutions
- Experience delivering production AI systems from concept through deployment
- Experience with 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
- 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 CS, Robotics, AI, EE, or ME
- Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
- Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
$112.8k - $257k
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