Generative AI Chief Engineering Lead

Anduril

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Boston, Massachusetts, United States; Costa Mesa, California, United States; Seattle, Washington, United States; Washington, District of Columbia, United States First seen 1 day, 16 hours ago Last seen 4 hours, 25 minutes ago Greenhouse

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Job Description

AI Summary

• Lead the development of advanced AI and agentic software systems for autonomous vehicles, focusing on deep learning, reinforcement learning, and generative AI technologies • Design and implement novel algorithms that improve sensor perception, decision-making, and autonomous mission capabilities while reducing operator burden • Integrate research prototypes into production-ready systems through collaboration with cross-functional teams, including simulation and real-world validation • Required qualifications include deep LLM knowledge, proven reinforcement learning experience, shipped product experience, and a degree in Computer Science, Robotics, or Machine Learning (or equivalent) • Role requires U.S. Top Secret security clearance eligibility and 40%+ travel for building, testing, and deploying capabilities

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

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.
Proven experience of shipping products end to end
Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
Eligible to obtain and maintain an active U.S. Top Secret security clearance
Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
Strong programming skills in Python and familiarity with C/C++ is a plus.
General software engineering experience solving motion planning or related robotics problems.

US Salary Range

$254,000—$336,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
- Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Skills

rust go git python aws

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Job Information

Company:
Anduril
Location:
Boston, Massachusetts, United States; Costa Mesa, California, United States; Seattle, Washington, United States; Washington, District of Columbia, United States
Job Type:
Full-Time
Experience Level:
Mid
Source:
Greenhouse
Status:
Active

Activity Score

81 /100

Very Active (81)

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