About the job
We are seeking a Senior Software Engineer to join a customer-facing product engineering team focused on developing advanced Command and Control (C2) and Agentic Autonomy Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art software solutions that combine sensors, actuators, unmanned vehicles, and intelligent decision-making systems including self-hosted and commercial LLMs to enable users to employ and manage robotic and autonomous systems across a variety of mission sets.
Responsibilities
Design, implement, and optimize software for mission-critical autonomous systems using modern technologies and methodologies
Develop algorithms to process data from heterogeneous sensors for real-time state estimation and threat detection
Build LLM and AI-driven systems capable of assessing threats and rapidly making decisions to deploy responses to those threats
Develop integrations with a range of sensors, effectors, and autonomous platforms
Engineer scalable, reliable, and fail-safe systems capable of functioning in high-stakes environments
Partner with multidisciplinary teams, including robotics experts, hardware engineers, and system integrators, to deliver integrated solutions
Qualifications
Minimum
5+ years of professional software development experience
2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems
2+ years of experience as a mentor, tech lead or leading an engineering team
Strong proficiency in Rust, Python, C++, or Java
Bachelor's/Master's/PhD in Computer Science, Robotics, Electrical Engineering, or related fields
Active US Security clearance or eligibility and willingness to obtain a US Security clearance
Preferred
Proven experience in software development for autonomous systems, embedded systems, or robotics
Knowledge of AI/ML, sensor processing, or swarm behaviors is highly desirable
Knowledge of LLM toolchains and implementation of agents into complex real time data workflows
Ability to manage complexity, optimize for performance, and think critically under pressure
Experience deploying and maintaining robust production systems