Senior AI Infrastructure Engineer

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: 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