Software Engineer II –AI Enabled Tactical Autonomy

About the role

The role involves developing AI-enabled autonomy software that supports intelligent decision-making and mission execution in distributed, multi-domain environments. Key responsibilities include designing and implementing intelligent agent behaviors, machine learning models, and edge-based AI capabilities for tactical systems.

Responsibilities

• Develop AI-enabled autonomy software that supports intelligent decision-making and mission execution in distributed, multi-domain environments.
• Design and implement intelligent agent behaviors, machine learning models, and edge-based AI capabilities for tactical systems.
• Build software that enables autonomous platforms to coordinate tasks, share information, and operate effectively in Denied, Disconnected, Intermittent, and Limited (DDIL) environments.
• Contribute to cross-platform orchestration and adaptive data solutions that improve collaboration and mission performance across distributed assets.
• Integrate, test, and validate AI and autonomy capabilities using modeling, simulation, and advanced experimentation environments.
• Collaborate with cross-functional engineering teams to develop scalable, secure, and mission-critical software solutions.

Requirements

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 2 years of prior relevant experience or an Advanced Degree in a related field.
• Proficiency in Python and experience with at least one programming language such as C++, Rust, or Go.
• Experience developing or integrating AI/ML applications, including deploying machine learning models in real-time or edge computing environments.
• Knowledge of distributed systems, concurrency, or software designed to operate in communications-constrained (DDIL) environments.
• Familiarity with tools and technologies such as ROS/ROS2, containerized environments (Docker, Kubernetes), or agent-based autonomy frameworks.
• Experience with reinforcement learning, multi-agent systems, or AI-driven decision-making.
• Familiarity with autonomy simulation tools, modeling environments, or mission-focused testing frameworks.
• Knowledge of distributed systems, autonomous coordination, or human-machine teaming concepts.
• Experience developing software for defense, aerospace, or other mission-critical applications, including familiarity with government or open mission system standards.

Qualifications

• You must have a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 2 years of prior relevant experience or an Advanced Degree in a related field.
• Proficiency in Python and experience with at least one programming language such as C++, Rust, or Go.
• Experience developing or integrating AI/ML applications, including deploying machine learning models in real-time or edge computing environments.
• Knowledge of distributed systems, concurrency, or software designed to operate in communications-constrained (DDIL) environments.
• Familiarity with tools and technologies such as ROS/ROS2, containerized environments (Docker, Kubernetes), or agent-based autonomy frameworks.
• Experience with reinforcement learning, multi-agent systems, or AI-driven decision-making.
• Familiarity with autonomy simulation tools, modeling environments, or mission-focused testing frameworks.
• Knowledge of distributed systems, autonomous coordination, or human-machine teaming concepts.
• Experience developing software for defense, aerospace, or other mission-critical applications, including familiarity with government or open mission system standards.

Skills

• Python
• C++, Rust, or Go
• Reinforcement Learning
• Multi-Agent Systems
• Autonomy Simulation Tools
• ROS/ROS2
• Docker, Kubernetes
• Agent-Based Autonomy Frameworks

Benefits

• Medical, dental, and vision insurance
• Three weeks of vacation for newly hired employees
• A generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
• Tuition reimbursement program
• Student Loan Repayment Program
• Life insurance and disability coverage
• Optional coverages such as pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection, and more

Pay

$68,900 - $131,100 USD

Schedule

Onsite