AI Chief Engineering Lead

Anduril Anduril · Defense · Washington, DC · Air Dominance & Strike : Mission Autonomy Engineering : Mission Software Engineering

Lead engineering for AI-driven autonomous vehicle technology, focusing on deep learning and reinforcement learning to develop advanced agentic software systems and integrate them into production-ready systems. This role involves research, experimentation, and utilizing real-world and synthetic data for model enhancement, with a strong emphasis on shipping end-to-end products.

What you'd actually do

  1. Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
  2. Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
  3. Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
  4. Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
  5. Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Skills

Required

  • LLM's
  • reinforcement learning
  • shipping products end to end
  • Python

Nice to have

  • simulation or real-world validation for autonomous vehicles
  • PhD or Master’s degree
  • deep learning research
  • generative AI
  • diffusion models
  • autoregressive generative models
  • multi-modal sensor data processing
  • ML Ops best practices
  • C/C++

What the JD emphasized

  • Proven experience of shipping products end to end
  • Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
  • Solid experience with reinforcement learning methods and their application to autonomous systems.

Other signals

  • autonomous vehicle technology
  • deep learning
  • reinforcement learning
  • agent-based software systems
  • LLM's