Staff AI Infrastructure Engineer -

Anduril Industries; Costa Mesa (CA); On-site; USD 220,000 - 292,000; Full time

Job summary

Anduril Industries is seeking a Staff AI Infrastructure Engineer to architect and scale the end-to-end ML platform powering autonomous systems. You will own the technical roadmap, build robust ML tooling, and manage data from terabytes of sensors and simulations in cloud and air-gapped environments.

You will lead the infrastructure engineering team over time, mentoring engineers while partnering with AI researchers and platform teams to raise experimentation velocity and system reliability.

Qualifications

• 7+ years of software engineering experience designing, building, and operating production-scale ML systems.
• Proficient in Python, Go, C++, or similar backend languages.
• Deep experience with containerized deployments (Docker, Kubernetes), GPU scheduling, and distributed training frameworks.

Responsibilities

• Architect the ML Platform: design, build, and maintain our training, orchestration, and experimentation infrastructure to support state-of-the-art model development.
• Optimize AI Researcher Velocity: identify bottlenecks and build automated tools for hyperparameter tuning, model profiling, and experimentation tracking.
• Build Data Pipelines at Scale: design and scale robust ETL pipelines for terabytes of multi-modal data.
• Deploy Model Serving Infrastructure: architect high-throughput serving frameworks for cloud and edge environments, with CI/CD for ML models.
• Implement Evaluation & Alignment Loops: automated pipelines for evaluation, validation, and RLHF/DPO to ensure safety and predictability.
• Collaborate and Pioneer: work with AI Researchers, Computer Vision teams, and platform engineers to standardize infrastructure across autonomous programs.

Skills

Python

Go

C++

ML systems design

Docker

Kubernetes

MLOps

Leadership

ETL pipelines

GPU orchestration

Tools

PyTorch Distributed

Ray

Slurm

Megatron-LM

Job description

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.

Anduril Industriesis a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing theexpertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed,builtand sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into arealtime, 3Dcommandand control center. As the world enters an era of strategic competition, Anduril is committed to bringingcutting-edgeautonomy, 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 foundingStaff AI Infrastructure Engineerto architect, build, and scale the end-to-end machine learning platform that powers Anduril’s autonomous systems.

As a Staff Engineer, you will own the technical roadmap for our ML platform. You will build the robust infrastructure,MLOpstooling, and systems architecturerequiredto train, evaluate, host, and serve complex AI models (including LLMs, computer vision, and RL agents) in both cloud environments and air-gapped, offline tactical edge networks. You will be a force multiplier for our AI Research Scientists,optimizingtheir experimentation velocity and managing the lifecycle of terabytes of multi-modal sensor and simulation data. Over time, you will help recruit, mentor, and expand this infrastructure engineering team.

WHAT YOU’LL DO

Architect the ML Platform: Design, build, andmaintainour foundational training, orchestration, and experimentation infrastructure to supportstate-of-the-artmodel development.

OptimizeAI Researcher Velocity: Activelyidentify, measure, andeliminatebottlenecks in the ML research lifecycle. Build highly automated tools for hyperparameter tuning, model profiling, and experimentation tracking.

Build Data Pipelines at Scale: Design and scale robust, high-performance ETL pipelines capable of processing terabytes of multi-modal data (video, camera feeds, radar, flight telemetry, and simulation logs) captured from physical assets and test sites.

Deploy Model Serving Infrastructure: Architect high-throughput, low-latency model serving frameworksoptimizedfor both scalable cloud environments and air-gapped, resource-constrained tactical edge environments. Build CI/CD pipelines for ML models with automated validation, canary deployments, and rollback capabilities.

Implement Evaluation & Alignment Loops: Build robust, automated pipelines for continuous evaluation, model validation, and reinforcement learning alignment loops (RLHF/DPO) to guarantee model safety and predictability in high-stakes environments.

Collaborate and Pioneer: Work closely with AI Researchers, Computer Vision teams, and platform engineers to design unified infrastructure standards across the company’s autonomous systems programs.

REQUIRED QUALIFICATIONS

Production Infrastructure Experience: 7+ years of software engineering experience with a proventrack recordof designing, building, and operating production-scale machine learning systems and platforms (MLOps).

Strong Programming & Systems Design: Proficient in Python, Go, C++, or similar backend languages. Deep understanding of ML systems design, memory management, and distributed computing.

GPU & Compute Orchestration: Deep experience with containerized deployments (Docker, Kubernetes), GPU scheduling/orchestration, and distributed training frameworks (e.g.,PyTorchDistributed, Ray,Slurm, or Megatron-LM).

Data Architecture: Hands-on experience building distributed data pipelines (ETL) and managing massive datasets (terabytes of unstructured/multi-modal sensor data).

Strategic Technical Leadership: Experience setting technical direction, leading complex system migrations, and mentoring senior engineers.

Clearance Eligibility: Eligible to obtain andmaintainan active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

Secure & Edge Environments: Experience building and running ML infrastructure, model serving, or software registries within secure, air-gapped, or highly regulated environments (e.g., IL5/IL6, GovCloud).

LLM/GenAI Infra: Experience specifically building training and evaluation platforms for Large Language Models, Generative AI architectures, or Reinforcement Learning (RL) pipelines.

Hardware Profiling: Experience profiling training hardware performance,identifyingbottlenecks across networks and memory, and optimizing hardwareutilization.

Multi-Cluster & Multi-Tenant Platforms: Experience designing andoperatingmulti-tenant ML platforms that serve multiple research teams, with robust resource isolation, quota management, and fair scheduling across shared GPU clusters.

Custom Accelerators: Hands-on experience with next-generation AI accelerators beyond standard GPUs (e.g., AWSTrainium, Google TPUs, or custom ASICs) for training and inference workloads.

Model Observability at Scale: Experience building production monitoring and observability systems for ML models, including prediction drift detection, data quality monitoring, and automated retraining triggers.

US Salary Range

$220,000—$292,000 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.

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.