Senior C++ Software Engineer - Mission Systems
Applied Intuition is seeking a Senior C++ Software Engineer to join our Acuity Autonomous Behaviors and Agents engineering team. In this role, you will design and implement advanced algorithms for real-time autonomous mission coordination, contributing to our Axion and Acuity systems that enhance human-machine teaming across various domains. This position is based in San Diego, California.
As a Senior C++ Software Engineer, you will be responsible for developing multi-agent optimization algorithms for distributed decision-making and coordination problems. Your day-to-day work will involve creating mathematical models for sequential decision processes under uncertainty, building computational frameworks that balance algorithmic efficiency with human-interpretable reasoning, and collaborating with cross-disciplinary teams to refine algorithmic approaches based on empirical evaluation.
The ideal candidate will have a 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. Proficiency in modern C++ (C++20), strong theoretical understanding and practical experience with algorithms for constraint satisfaction, scheduling, and optimization problems, and experience developing in Docker-based Linux environments are essential. Additionally, candidates must be U.S. citizens eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility.
Compensation for this full-time position includes a base salary ranging from $150,000 to $200,000 USD annually, along with equity and comprehensive benefits. Benefits encompass health, dental, vision, life, and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off.
Applied Intuition fosters a dynamic and mission-oriented work environment, emphasizing collaboration and innovation. Employees have the opportunity to work on cutting-edge technologies that directly impact the safety and efficiency of autonomous systems, contributing to advancements in human-machine teaming across multiple domains.