Optimization Algorithms Jobs in Michigan (NOW HIRING)

Job Summary:
Applied Intuition is a Silicon Valley company focused on powering the future of physical AI. They are seeking a Senior C++ Software Engineer to tackle complex computational challenges in real-time decision-making platforms, designing and implementing algorithms for autonomous coordination and planning.
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
• 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
Qualifications:
Required:
• 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++ (we use 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.
• Experience using git, Visual Studio Code, GitLab, SonarQube, and Artifactory or Azure Container registry.
• Ability to translate complex mathematical concepts into clear technical documentation and communicate complex software designs.
• Strong critical thinking skills, methodical approach to algorithm development and validation, and ability to thrive in a dynamic, fast-paced environment.
• Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams.
• Passion for solving complex problems with little supervision in a fast-moving team.
• Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment.
• Must be a U.S. Citizen
• Must be eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility.
Preferred:
• 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.
• Master’s degree in computer science/related engineering field.
• 7+ years developing software in C++ (C++ 2017)
• Proficient with build tools like Conan and Bazel.
• Experience on national security projects for government agencies.
• Interdisciplinary background with a focus on continual learning.
Company:
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.