Senior AI Infrastructure Engineer

Anduril-1; Washington (District of Columbia); On-site; USD 191,000 - 253,000; Full time

Benefits offered by this job

Equity grants

Comprehensive benefits

Health coverage

Job summary

Anduril Industries is seeking a Senior AI Infrastructure Engineer to build and scale the end-to-end ML platform powering autonomous systems.

You will own core components to train, evaluate, host, and serve AI models across cloud environments and air-gapped edge networks, working with AI Researchers and Platform Engineers to remove bottlenecks and ensure safe deployment.

Qualifications

• 5+ years building production ML infrastructure or distributed systems.
• Proficiency in Python, Go or C++ with strong fundamentals.
• Eligible to obtain and maintain a U.S. Top Secret security clearance.

Responsibilities

• Build, optimize, and maintain scalable training, orchestration, and experimentation infrastructure to accelerate state-of-the-art model development.
• Identify and resolve bottlenecks in the ML lifecycle by developing tooling for experiment tracking and hyperparameter tuning.
• Implement and scale robust data pipelines (ETL) for multi-modal data from assets and test sites.
• Deploy high-throughput, low-latency model serving frameworks for cloud and edge hardware.
• Develop CI/CD pipelines for ML models with automated testing and safe rollout/rollback strategies.
• Implement evaluation and RLHF/DPO pipelines to ensure safety in deployments.
• Partner with researchers and CV engineers to translate modeling needs into scalable infrastructure.
• Mentor peers, perform design reviews, and promote engineering best practices.

Skills

5+ years experience

Programming: Python/Go/C++

End-to-end ownership

Security clearance eligible

Distributed ML infrastructure

Tools

Docker

Kubernetes

PyTorch Distributed

Ray

Slurm

Megatron-LM

Job description

Costa Mesa, California, United States; Seattle, Washington, United States; Washington, District of Columbia, United States

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.

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The teamis responsible fortaking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first andthird partyrobots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

ABOUT THE JOB

We are looking for a Senior AI Infrastructure Engineer to build, scale, and optimize the end-to-end machine learning platform that powers Anduril’s autonomous systems.

In this role, you will own critical components of our ML platform and MLOps tooling. You will build and operate the infrastructure required to train, evaluate, host, and serve complex AI models (including LLMs, computer vision, and RL agents) across cloud environments and air-gapped, edge-deployed networks. Working closely with AI Research Scientists and Platform Engineers, you will eliminate friction in model development, optimize hardware utilization, and ensure robust delivery of models into safety-critical operational environments.

WHAT YOU’LL DO

• Build, optimize, and maintain scalable training, orchestration, and experimentation infrastructure to accelerate state-of-the-art model development.
• Identify and resolve bottlenecks in the ML lifecycle by developing tooling for experiment tracking, automated profiling, and hyperparameter tuning.
• Implement and scale robust data pipelines (ETL) to process multi-modal data (video feeds, radar, flight telemetry, and simulation logs) captured from physical assets and test sites.
• Deploy high-throughput, low-latency model serving frameworks optimized for both cloud environments and resource-constrained, air-gapped tactical edge hardware.
• Develop robust CI/CD pipelines for ML models, including automated regression testing, validation benchmarks, and safe rollout/rollback strategies.
• Implement pipelines for model evaluation, validation, and reinforcement learning alignment loops (RLHF/DPO) to ensure predictability and safety in mission-critical deployments.
• Partner with AI Researchers and Computer Vision engineers to translate modeling requirements into scalable, reusable infrastructure.
• Mentor peers, conduct thorough design and code reviews, and champion engineering best practices across the team.

REQUIRED QUALIFICATIONS

• 5+ years of software engineering experience with demonstrated success in building and operating production-scale machine learning infrastructure or distributed systems.
• Proficiency in Python, Go, or C++, with a strong grasp of software engineering fundamentals, systems design, and concurrent programming.
• Hands-on experience with container orchestration (Docker, Kubernetes) and distributed training frameworks (e.g., PyTorch Distributed, Ray, Slurm, or Megatron-LM).
• Experience building and maintaining distributed data pipelines handling large-scale unstructured or multi-modal datasets.
• Track record of owning projects end-to-end—from technical design to production deployment and operational monitoring.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience deploying ML infrastructure, model serving, or artifacts in secure, air-gapped, or regulated environments (e.g., IL5/IL6, GovCloud).
• Hands‑on experience profiling GPU/accelerator workloads, resolving hardware/network bottlenecks, and optimizing compute utilization.
• Experience supporting workloads for Large Language Models, Generative AI, or Reinforcement Learning (RL) pipelines.
• Experience with multi-tenant cluster management, including fair scheduling, GPU slicing, and quota enforcement.
• Familiarity with production ML observability frameworks, including data drift detection and automated evaluation pipelines.

US Salary Range

$191,000 - $253,000 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:

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 .

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Anduril Industries’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.