Shield AI

Senior Engineer, Autonomy - Tactical Behaviors

Shield AI
onsite senior full-time $160,000 - $240,000 a year Washington, DC / Boston, MA / San Diego, California
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First indexed 17 Apr 2026

Description

This position is perfect for an individual who enjoys solving complex problems across diverse domains and modalities. As a Senior Engineer, Autonomy - Tactical Behaviors, you will design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.

Key responsibilities include:

  • Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions
  • Developing high-performance software modules that incorporate planning, decision-making, and behavior execution strategies
  • Implementing and testing behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios
  • Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior
  • Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms
  • Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions
  • Analyzing mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development

Required qualifications include:

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
  • Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design
  • Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)
  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation

Preferred qualifications include:

  • Experience applying ML/RL techniques in autonomy pipelines
  • Background in collaborative behaviors, swarm robotics, or distributed decision-making
  • Familiarity with tactical behaviors for unmanned systems in DoD or government programs

Salary: $160,000 - $240,000 a year

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.lever.co/shieldai/1af75b70-43ff-457b-858b-2935e7c8983a