Senior C++ Software Engineer (Defense Autonomy)

Applied Intuition•Arlington, VA

5d•$150,000 - $200,000•Onsite

About The Position

Applied Intuition is seeking a Software Engineer with strong foundations in algorithmic optimization and multi-agent systems to tackle complex computational challenges in their real-time decision-making platform. The role involves designing and implementing advanced algorithms for autonomous coordination and planning, focusing on next-generation human-machine teaming and real-time decision-making systems. The engineer will help build intelligent agents that plan and execute missions using advanced reasoning, planning, and optimization algorithms, working across real-time scenarios, heterogeneous platforms (air, space, land, surface, sub-surface), and software that integrates seamlessly with human operators. This role supports the Axion and Acuity family of systems, enabling breakthrough capabilities in human-machine teaming across all domains. The position offers opportunities to advance the state of the art in autonomous decision making systems for mission-critical coordination problems.

Requirements

BS or MS in Computer Science, Software Engineering, Robotics, or a related technical field, OR 5+ years of professional experience developing intelligent agents or planning systems.
5+ years of hands-on experience developing performant modern C++ (C++ 20).
Strong theoretical understanding and practical experience implementing algorithms for constraint satisfaction, scheduling, and optimization problems.
Demonstrable skill in analyzing, visualizing, and optimizing algorithm performance and solution quality.
Proficiency with Bazel in Docker-based Linux environments.
Strong procedural and object-oriented programming experience that employs clean code principles and good OOP design patterns/principles.
Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu).
Understanding of Service-oriented Architecture and message broker vs data broker paradigms.
Ability to translate complex mathematical concepts into clear technical documentation and communicate complex software designs.
Must be a U.S. Citizen
Must be eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility

Nice To Haves

Advanced degree (MS+) in algorithms, computational optimization, or autonomous systems, OR 5+ years building autonomous decision systems.
Expertise in advanced planning paradigms (e.g., PDDL, HTN planning, Monte Carlo tree search), temporal reasoning, formal verification, or symbolic planning.
Experience with game theory for multi-agent coordination or negotiation protocols.
Familiarity with real-time optimization under hardware/edge constraints.
Background in Battle Management Command and Control (BMC2) or defense applications.

Responsibilities

Design and implement multi-agent optimization algorithms for distributed decision-making and coordination problems
Develop temporal logic frameworks and constraint-satisfaction algorithms for complex planning scenarios
Create mathematical models for sequential decision process under uncertainty with probabilistic outcomes
Build computational frameworks that balance algorithmic efficiency with human-interpretable reasoning
Implement and evaluate quantitative metrics for algorithm performance, solution quality, and computational efficiency