Principal Ai/ml Software Engineer - Autonomy (onsite)

Collins Aerospace

Cedar Rapids, IA, United States
Base: $107,500 - $204,500 usd; bonus/equity: not s...
**
Multi-agent coordination algorithms
Reinforcement learning for resource allocation
Python and c++ or rust proficiency
** Collins Aerospace is seeking a Principal AI/ML Software Engineer to work onsite in Cedar Rapids, IA, focusing on developing advanced autonomy and AI systems for military applications. The role requires significant experience in AI/ML, distributed systems, and a strong background in reinforcement learning and multi-agent systems. **

Job Summary

  • This role involves designing next-generation Command and Control and Autonomy capabilities for the Connected Battlespace within Collins Aerospace's Applied Research organization.
  • Candidates will engineer probabilistic reasoning and adaptive learning components specifically for DDIL (Denied, Disrupted, Intermittent, Limited) environments.
  • The position offers a competitive salary range of $107,500 to $204,500 USD along with comprehensive benefits including medical insurance, 401(k) matching, and tuition reimbursement.

Matching Summary

Match Score: 75

** Collins Aerospace is seeking a Principal AI/ML Software Engineer to work onsite in Cedar Rapids, IA, focusing on developing advanced autonomy and AI systems for military applications. The role requires significant experience in AI/ML, distributed systems, and a strong background in reinforcement learning and multi-agent systems. **

Salary

Base: $107,500 - $204,500 USD; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k) match, tuition reimbursement

Skills & Requirements

Must-have

  • Multi-agent coordination algorithms
  • Reinforcement learning for resource allocation
  • Python and C++ or Rust proficiency
  • PyTorch or TensorFlow model deployment
  • ROS/ROS2 and distributed system frameworks
  • Edge-deployed resilient computing systems

Nice-to-have

  • Explainable AI and safety-constrained autonomy
  • Human-machine teaming and operator-centric interfaces
  • Neurosymbolic AI and hybrid reasoning architectures
  • Experience in contested or bandwidth-limited environments
  • Value-of-Information-driven optimization algorithms
  • IRAD strategy and technology transition planning

Key Requirements

  • U.S. Citizenship required
  • Active Secret Security Clearance on Day 1
  • Bachelor's degree plus 8 years experience OR Master's plus 5 years
  • Minimum 5+ years in AI/ML and autonomy
  • Proficiency in Python and at least one systems language

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter