Physical AI Engineer, Lead
At a glance
Senior AI Engineering role at Bah. Washington · full-time · $112,800–$257,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Set the system design and lead delivery of robotic AI for autonomous platforms and embodied agents
- Build models that handle perception, planning, motion, manipulation, navigation and sensor fusion
- Create large-scale training workflows with simulation, synthetic data, imitation learning and reinforcement learning
- Bring vision, language and action models onto physical platforms, then turn research into deployable systems
- Guide senior engineers, set technical practices and shape plans with mission, business and research stakeholders
What you bring
- At least eight years building AI, robotics, autonomous-system or machine-learning solutions
- You have taken production AI systems from initial concept through deployment
- You bring experience across reinforcement or imitation learning, perception, planning, navigation or related listed areas
- You can develop with Python and C++, using modern AI frameworks and robotic middleware or simulators
- You hold a master's degree and can qualify for a Secret clearance
Who this fits
This is a senior technical leadership role: you’ll guide experienced engineers while also setting architecture and delivering physical AI systems. You’ll suit work that spans robotics, machine learning, simulation and production deployment. A master’s degree is required, and clearance eligibility is part of the hiring process.
From the employer
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.
You Have:
- 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
Nice If You Have:
- 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
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- 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.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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