Generative 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 $209k
This role $295k
$153k most similar roles pay here $356k

This role pays more than 93% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $295k versus about $209k 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 · Generative AI Chief Engineering Lead

Join Anduril as the Generative AI Chief Engineer Lead, a senior role within their autonomous vehicle technology team, where you will design and implement advanced algorithms to enhance sensor perception, prediction, and decision-making in autonomous systems. You’ll collaborate with cross-functional teams to integrate research prototypes into production-ready systems, conduct rigorous experiments using reinforcement learning strategies, and utilize real-world data to improve model robustness. This role requires expertise in large language models (LLMs), deep learning, and generative AI techniques such as diffusion and autoregressive models, along with strong programming skills in Python and C/C++. Ideal candidates will have a background in Computer Science or Robotics and experience shipping end-to-end products, complemented by a Top Secret security clearance.

What you'll do

  • Design and implement novel agent-based software systems for autonomous vehicle perception, prediction, and decision-making.
  • Apply advanced reinforcement learning strategies to develop intelligent autonomous system workflows.
  • Integrate research prototypes into robust production-ready systems across simulation and real-world platforms.
  • Conduct rigorous quantitative evaluations of AI models using real-world and synthetic data.
  • Develop scalable training pipelines on distributed systems to enhance model robustness and generalization.

What we're looking for

  • Extensive experience in reinforcement learning and its application to autonomous systems.
  • Deep understanding of large language models (LLMs) and their practical applications.
  • Proven track record of shipping end-to-end products in software development.
  • Degree in Computer Science, Robotics, Machine Learning, or a related field.
  • Top Secret security clearance required for the position.
  • Experience with deep learning research, especially in generative AI techniques.

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