# Senior AI Infrastructure Engineer

**Company**: Anduril Industries
**Location**: Costa Mesa, California, United States; Seattle, Washington, United States; Washington, District of Columbia, United States
**Experience**: senior
**Job type**: full-time
**Salary**: $191,000-$253,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5248215007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_af0e06d9-f31

## Description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

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.

**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, 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.

**Benefits** Anduril offers top-tier benefits for full-time employees, including comprehensive, competitive benefits package (available at little to no cost to employees) to support health, recovery, and well-being.

## Skills

### Required
- Python
- Go
- C++
- container orchestration
- distributed training frameworks
- machine learning infrastructure

### Nice to have
- Experience deploying ML infrastructure in secure environments
- Hands-on experience profiling GPU/accelerator workloads
- Large Language Models
- Reinforcement Learning

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5248215007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)