← All roles

Senior AI Infrastructure Engineer

Anduril· Air Dominance & Strike : Mission Autonomy Engineering : Mission Software Engineering
Apply on company site
Costa Mesa, CA, Seattle, WA, Washington, DC$191k - $253kfull-timePosted 3w ago

About the role

Senior AI Infrastructure Engineer responsible for building, scaling, and optimizing the end-to-end machine learning platform powering Anduril’s autonomous systems, including training, evaluation, serving, and deployment across cloud and air-gapped edge environments.

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.

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.

Skills

Required:Software engineeringPython, Go, or C++Container orchestrationDistributed training frameworksData pipelinesCI/CD for MLSecurity clearance
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Anduril

defense-aero-and-safetyliquid-ai-recruiting-targetsetter-30setter-30-2026-q1wing-list-2026wing-list-2026-giga-stage
Company profileWebsite

More open roles at Anduril