Autonomy SME, Lead

Summary

Your growth matters to us - explore our career development opportunities.BE EMPOWERED TO SUCCEEDConnect with others in our people-first culture and enhance our collective ingenuity.SUPPORT YOUR WELLBEINGLearn how we'll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEYDiscover what to expect during your journey as a candidate with us.Autonomy SME, LeadAs an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned systems. You will work with advanced autonomy frameworks, including platforms such as Shield AI's Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities.You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution.As a technical lead, you will guide autonomy architecture decisions, mentor engineering teams, and support the integration of autonomy capabilities into operational military systems.What You'll Work On:Design and train machine learning models for perception, object detection, tracking, and classification.Develop reinforcement learning and autonomy algorithms for navigation and mission execution.Implement sensor fusion models combining EO, IR, LiDAR, GPS-denied navigation, and telemetry data.Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.Develop and integrate autonomy behaviors within platforms such as Hivemind.Implement mission planning logic and adaptive decision‑making algorithms.Enable collaborative autonomy between multiple UAS platforms.Lead the design and implementation of autonomy architectures for UAS and multi‑agent systems.Build simulation‑based training pipelines for autonomy validation.Deploy containerized AI models to airborne and ground edge nodes.Optimize inference latency and resource utilization.Conduct hardware‑in‑the‑loop (HIL) and software‑in‑the‑loop (SIL) testing.Develop secure software pipelines aligned to DoD cybersecurity standards.Integrate AI outputs into tactical networks and mission command systems.Implement CI/CD pipelines for rapid model iteration and field updates.Provide technical leadership and mentorship to engineers developing autonomy capabilities.Support flight testing, operational demonstrations, military exercises, and customer evaluations.Collaborate with government stakeholders, operators, and engineering teams to define autonomy requirements and roadmaps.You Have:5+ years of experience in software engineering, including AI/ML systemsExperience with Python and C++Experience with deep learning frameworks, such as PyTorch, TensorFlow, and ONNXExperience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and embedded platformsExperience with robotics middleware, such as ROS or ROS2Experience with computer vision or autonomous navigation systemsExperience leading technical teams, architecture decisions, or autonomy‑focused development effortsExperience integrating autonomous systems into operational, test, or simulation environmentsAbility to obtain a Secret clearanceBachelor's degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering fieldNice If You Have:Experience working in military exercises and war gamesExperience with autonomy frameworks such as Hivemind, PX4, ArduPilot, NVIDIA Isaac, or ROS2Experience with collaborative autonomy, swarming, or multi‑agent mission executionAbility to support flight testing and operational evaluationsML, AI, or Solution Architecture CertificationTop Secret clearanceMaster's degreeClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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.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.#J-18808-Ljbffr

Job Description

Your growth matters to us - explore our career development opportunities.BE EMPOWERED TO SUCCEEDConnect with others in our people-first culture and enhance our collective ingenuity.SUPPORT YOUR WELLBEINGLearn how we'll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEYDiscover what to expect during your journey as a candidate with us.Autonomy SME, LeadAs an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned systems. You will work with advanced autonomy frameworks, including platforms such as Shield AI's Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities.You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution.As a technical lead, you will guide autonomy architecture decisions, mentor engineering teams, and support the integration of autonomy capabilities into operational military systems.What You'll Work On:Design and train machine learning models for perception, object detection, tracking, and classification.Develop reinforcement learning and autonomy algorithms for navigation and mission execution.Implement sensor fusion models combining EO, IR, LiDAR, GPS-denied navigation, and telemetry data.Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.Develop and integrate autonomy behaviors within platforms such as Hivemind.Implement mission planning logic and adaptive decision‑making algorithms.Enable collaborative autonomy between multiple UAS platforms.Lead the design and implementation of autonomy architectures for UAS and multi‑agent systems.Build simulation‑based training pipelines for autonomy validation.Deploy containerized AI models to airborne and ground edge nodes.Optimize inference latency and resource utilization.Conduct hardware‑in‑the‑loop (HIL) and software‑in‑the‑loop (SIL) testing.Develop secure software pipelines aligned to DoD cybersecurity standards.Integrate AI outputs into tactical networks and mission command systems.Implement CI/CD pipelines for rapid model iteration and field updates.Provide technical leadership and mentorship to engineers developing autonomy capabilities.Support flight testing, operational demonstrations, military exercises, and customer evaluations.Collaborate with government stakeholders, operators, and engineering teams to define autonomy requirements and roadmaps.You Have:5+ years of experience in software engineering, including AI/ML systemsExperience with Python and C++Experience with deep learning frameworks, such as PyTorch, TensorFlow, and ONNXExperience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and embedded platformsExperience with robotics middleware, such as ROS or ROS2Experience with computer vision or autonomous navigation systemsExperience leading technical teams, architecture decisions, or autonomy‑focused development effortsExperience integrating autonomous systems into operational, test, or simulation environmentsAbility to obtain a Secret clearanceBachelor's degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering fieldNice If You Have:Experience working in military exercises and war gamesExperience with autonomy frameworks such as Hivemind, PX4, ArduPilot, NVIDIA Isaac, or ROS2Experience with collaborative autonomy, swarming, or multi‑agent mission executionAbility to support flight testing and operational evaluationsML, AI, or Solution Architecture CertificationTop Secret clearanceMaster's degreeClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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.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.#J-18808-Ljbffr