AI Chief Engineering Lead

Anduril Industries

Quick summary

Work type
On-site
Location
Boston, MA · Costa Mesa, CA · Seattle, WA · Washington, DC
Salary
$254,000–$336,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $295k
$168k most similar roles pay here $354k

This role pays more than 91% of similar roles. Most pay $186,375–$253,687 — the shaded band above. At the midpoint, this role pays about $295k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · AI Chief Engineering Lead

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As the AI Chief Engineering Lead at Anduril, you will lead a team of engineers to develop advanced agentic software and integrate research prototypes into robust production systems for autonomous vehicle technology. Your day-to-day responsibilities include designing novel agent-based software systems, applying reinforcement learning methods, conducting rigorous quantitative evaluations, and utilizing real-world data to enhance model robustness. You should have expertise in deep learning, particularly with LLMs and reinforcement learning, along with strong programming skills in Python and C/C++. This role involves working on large-scale distributed systems and requires a Top Secret security clearance due to the sensitive nature of autonomous vehicle technology.

Skills

Python C++ Reinforcement_Learning Deep_Learning LLMs Distributed_Systems Simulation_Environments CI/CD Autonomous_Vehicles Generative_AI Diffusion_Models Autoregressive_Generative_Models

What you'll do

  • Design and implement novel agent-based software systems for autonomous vehicle perception, prediction, and decision-making.
  • Apply reinforcement learning strategies to develop integrated agents for solving end-user autonomous system workflows.
  • Integrate research prototypes into robust production-ready systems with cross-functional teams.
  • Conduct rigorous quantitative evaluations of AI models using real-world and synthetic data.
  • Develop scalable training pipelines on distributed systems to enhance model robustness.

What we're looking for

  • Extensive experience in reinforcement learning and its application to autonomous systems.
  • Solid background in developing and shipping end-to-end AI products.
  • Degree in Computer Science, Robotics, Machine Learning, or a related field.
  • Expertise in large language models (LLMs) and their practical applications.
  • Top Secret security clearance required for the position.
  • Experience with real-world data-driven innovation and scalable training pipelines.

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