Senior Software Engineer - Autonomous Systems

The Role

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.

Core 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

Requirements

• 5+ years of professional software development experience.
• 2+ years of experience contributing to 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, or PhD in Computer Science, Robotics, Electrical Engineering, or related fields.
• Active US Security clearance or eligibility and willingness to obtain one.

What We Value

• Proven experience in software development for autonomous systems, embedded systems, or robotics.
• Knowledge of AI/ML, sensor processing, or swarm behaviors.
• 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.