Decision Autonomy Engineer

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)

About EpiSci

EpiSci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. EpiSci’s autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision-making. EpiSci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions.

About the role

EpiSci is seeking a Decision Autonomy Engineer with strong theoretical foundations in algorithmic optimization and multi-agent systems. You’ll tackle complex computational challenges in our real-time decision-making platform, designing and implementing advanced algorithms that push the boundaries of autonomous coordination and planning. We seek motivated engineers driven by core mission values to join our Battle Management Command and Control (BMC2) autonomy engineering team focused on next-generation human-machine teaming and real-time decision-making systems. You’ll help build intelligent agents that plan and execute missions using advanced reasoning, planning, and optimization algorithms. Our work spans real-time scenarios, heterogeneous platforms (air, space, land, surface, sub-surface), and software that integrates seamlessly with human operators. If you thrive in fast-moving, mission-oriented environments and love building autonomy that help our warfighters, this is your role.

Your work will support our BMC2 systems, enabling breakthrough capabilities in human-machine teaming across air, surface, and maritime domains. If you’re passionate about applying cutting-edge algorithms to solve mission-critical coordination problems, this role offers exceptional opportunities to advance the state of the art in autonomous decision making systems.

At EpiSci, you will:

• 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
• Translate theoretical approaches into production-ready software implementations with rigorous testing methodologies
• Collaborate with cross-disciplinary teams to refine algorithmic approaches based on empirical evaluation
• Communicate technical details effectively across stakeholders, sponsors, and leadership

We're looking for someone who has:

• MS or PhD in Computer Science, Robotics, Optimization, Decision Science, or related field, OR 3+ years of experience developing intelligent agent or planning systems
• Strong theoretical understanding of algorithmic complexity, graph theory, information theory, and optimization techniques
• Experience implementing algorithms for constraint satisfaction problems, scheduling, or path planning